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1228 11
2020-12-06
Author :  Daniel tulips liu

[1] comiler
You may call

mingw32-make install-tbb
====================================================================
g++ -o spin_rw_mutex_v2.o -c -MMD -O2 -DUSE_WINTHREAD -D_WIN32_WINNT=0x0502 -DMINGW_HAS_SECURE_API=1 -D__MSVCRT_VERSION__=0x0700 -msse -mthreads -m64 -mrtm   -flifetime-dse=1 -D__TBB_BUILD=1 -Wall -Wno-parentheses -Wno-uninitialized -Wno-non-virtual-dtor -Wno-unknown-warning-option -Wno-missing-attributes -Wno-class-memaccess -Wno-sized-deallocation   -std=c++1y  -I../tbb_2019_U8/src -I../tbb_2019_U8/src/rml/include -I../tbb_2019_U8/include ../tbb_2019_U8/src/old/spin_rw_mutex_v2.cpp
g++ -o task_v2.o -c -MMD -O2 -DUSE_WINTHREAD -D_WIN32_WINNT=0x0502 -DMINGW_HAS_SECURE_API=1 -D__MSVCRT_VERSION__=0x0700 -msse -mthreads -m64 -mrtm   -flifetime-dse=1 -D__TBB_BUILD=1 -Wall -Wno-parentheses -Wno-uninitialized -Wno-non-virtual-dtor -Wno-unknown-warning-option -Wno-missing-attributes -Wno-class-memaccess -Wno-sized-deallocation   -std=c++1y  -I../tbb_2019_U8/src -I../tbb_2019_U8/src/rml/include -I../tbb_2019_U8/include ../tbb_2019_U8/src/old/task_v2.cpp
cmd /C "..\tbb_2019_U8\build\generate_tbbvars.bat"
Generating local tbbvars.bat
Generating local tbbvars.sh
Generating local tbbvars.csh
g++ -E -x c++ ../tbb_2019_U8/src/tbb/win64-gcc-tbb-export.def -O2 -DUSE_WINTHREAD -D_WIN32_WINNT=0x0502 -DMINGW_HAS_SECURE_API=1 -D__MSVCRT_VERSION__=0x0700 -msse -mthreads -m64 -mrtm   -flifetime-dse=1 -D__TBB_BUILD=1 -Wall -Wno-parentheses -Wno-uninitialized -Wno-non-virtual-dtor -Wno-unknown-warning-option -Wno-missing-attributes -Wno-class-memaccess -Wno-sized-deallocation   -I../tbb_2019_U8/src -I../tbb_2019_U8/src/rml/include -I../tbb_2019_U8/include > tbb.def
g++  -o tbb.dll concurrent_hash_map.o concurrent_queue.o concurrent_vector.o dynamic_link.o itt_notify.o cache_aligned_allocator.o pipeline.o queuing_mutex.o queuing_rw_mutex.o reader_writer_lock.o spin_rw_mutex.o x86_rtm_rw_mutex.o spin_mutex.o critical_section.o mutex.o recursive_mutex.o condition_variable.o tbb_thread.o concurrent_monitor.o semaphore.o private_server.o rml_tbb.o tbb_misc.o tbb_misc_ex.o task.o task_group_context.o governor.o market.o arena.o scheduler.o observer_proxy.o tbb_statistics.o tbb_main.o concurrent_vector_v2.o concurrent_queue_v2.o spin_rw_mutex_v2.o task_v2.o    -lpsapi -shared -m64 -Wl,-L,"D:/Backup/Documents/.cmdstanr/cmdstan-2.25.0/stan/lib/stan_math/lib/tbb" -Wl,-rpath,"D:/Backup/Documents/.cmdstanr/cmdstan-2.25.0/stan/lib/stan_math/lib/tbb"   -Wl,--version-script,tbb.def
task.o: duplicate section `.rdata$_ZTIN3tbb4taskE[_ZTIN3tbb4taskE]' has different size
arena.o: duplicate section `.rdata$_ZTIN3tbb4taskE[_ZTIN3tbb4taskE]' has different size
scheduler.o: duplicate section `.rdata$_ZTIN3tbb4taskE[_ZTIN3tbb4taskE]' has different size
mingw32-make[1]: Leaving directory 'D:/Backup/Documents/.cmdstanr/cmdstan-2.25.0/stan/lib/stan_math/lib/tbb'


[2]  the build result

=====================================================================
from fastLm.cpp:23:
   ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >':
   ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
   ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
   ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
..   ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
   ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
   ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]



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2020-12-6 08:29:25
../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >':
   ../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
   ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
   ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
..   ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
   ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
   ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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2020-12-6 08:29:41
../inst/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
   ../inst/include/Eigen/src/Householder/BlockHouseholder.h:94:19:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
..   ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
   ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:7:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
   ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:7:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>]'
   fastLm.cpp:101:67:   required from here
   ../inst/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
      enum {
           ^
   ../inst/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >':
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2020-12-6 08:30:14
../inst/include/Eigen/src/Core/CoreEvaluators.h:99:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
   ../inst/include/Eigen/src/Core/CoreEvaluators.h:681:51:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
   ../inst/include/Eigen/src/Core/CoreEvaluators.h:665:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
   ../inst/include/Eigen/src/Core/AssignEvaluator.h:730:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>]'
..   ../inst/include/Eigen/src/Core/AssignEvaluator.h:879:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 0, -1, 1>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
   ../inst/include/Eigen/src/Core/AssignEvaluator.h:836:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
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2020-12-6 08:31:06
../inst/include/Eigen/src/Core/Matrix.h:225:24:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1, 0, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
   ../inst/include/Eigen/src/Householder/BlockHouseholder.h:95:19:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
..   ../inst/include/Eigen/src/Householder/HouseholderSequence.h:333:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix<double, -1, 1>; Workspace = Eigen::Matrix<double, 1, 1, 1, 1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
   ../inst/include/Eigen/src/Householder/HouseholderSequence.h:308:7:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
   ../inst/include/Eigen/src/Householder/HouseholderSequence.h:360:7:   required from 'typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::operator*(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type<typename Eigen::internal::traits<Eigen::HouseholderSequence<VectorsType, CoeffsType, Side> >::Scalar, OtherDerived>::Type = Eigen::Matrix<double, -1, 1>]'
   fastLm.cpp:101:67:   required from here
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2020-12-6 08:31:42
../inst/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__vector(2) double'} [-Wignored-attributes]
   In file included from ../inst/include/Eigen/Core:434,
                    from ../inst/include/Eigen/Dense:1,
                    from ../inst/include/RcppEigenForward.h:30,
                    from ../inst/include/RcppEigen.h:25,
                    from fastLm.h:25,
                    from fastLm.cpp:23:
..   ../inst/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, false> >, 1, 1, false>, 0>':
   ../inst/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, false> >, 1, 1, false> >'
   ../inst/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, -1, 1, false> >, 1, 1, false> >'
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