* installing *source* package ‘DAISIE’ ...
** this is package ‘DAISIE’ version ‘4.5.0’
** using staged installation
** libs
using C compiler: ‘gcc-14 (Debian 14.2.0-12) 14.2.0’
using Fortran compiler: ‘GNU Fortran (Debian 14.2.0-12) 14.2.0’
using C++ compiler: ‘g++-14 (Debian 14.2.0-12) 14.2.0’
using C++17
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -D_HAS_AUTO_PTR_ETC=0 -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3   -fpic  -g -O2 -Wall -pedantic -mtune=native  -DR_NO_REMAP -c DAISIE_CS.cpp -o DAISIE_CS.o
In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21,
                 from DAISIE_types.h:14,
                 from DAISIE_odeint.h:13,
                 from DAISIE_CS.cpp:14:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses]
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
      |                     -
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
      |     -
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses]
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                     -
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
      |     -
In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/assert.hpp:35,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:20,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:19,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/size_type.hpp:20,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/size.hpp:21,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/functions.hpp:20,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range.hpp:18,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resize.hpp:24,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint.hpp:25,
                 from DAISIE_odeint.h:14:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5:   required from ‘struct boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  125 |         struct IncrementableIteratorConcept : CopyConstructible<Iterator>
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:31:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5:   required from ‘struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_concepts.hpp:114:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_concepts.hpp:114:7:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5:   required from ‘struct boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5:   required from ‘struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:152:13:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:152:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9:   required from ‘struct boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9:   required from ‘struct boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13:   required from ‘OutputIterator boost::range::copy(const SinglePassRange&, OutputIterator) [with SinglePassRange = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; OutputIterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:38:27:   required from ‘void boost::numeric::odeint::detail::do_copying(const Container1&, Container2&, std::integral_constant<bool, true>) [with Container1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Container2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   38 |         boost::range::copy( from , boost::begin( to ) );
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:61:27:   required from ‘static void boost::numeric::odeint::copy_impl_sfinae<Container1, Container2, Enabler>::copy(const Container1&, Container2&) [with Container1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Container2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Enabler = void]’
   61 |         detail::do_copying( from , to , is_range_type() );
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:71:58:   required from ‘static void boost::numeric::odeint::copy_impl<Container1, Container2>::copy(const Container1&, Container2&) [with Container1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Container2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   71 |         copy_impl_sfinae< Container1 , Container2 >::copy( from , to );
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:79:47:   required from ‘void boost::numeric::odeint::copy(const Container1&, Container2&) [with Container1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Container2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   79 |     copy_impl< Container1 , Container2 >::copy( from , to );
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5:   required from ‘struct boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  125 |         struct IncrementableIteratorConcept : CopyConstructible<Iterator>
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5:   required from ‘struct boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9:   required from ‘struct boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9:   required from ‘struct boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9:   required from ‘typename boost::range_size<const SinglePassRange>::type boost::size(const SinglePassRange&) [with SinglePassRange = numeric::ublas::vector<double, numeric::ublas::unbounded_array<double, std::allocator<double> > >; typename range_size<const SinglePassRange>::type = long unsigned int]’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:45:29:   required from ‘static bool boost::numeric::odeint::same_size_impl_sfinae<State1, State2, Enabler>::same_size(const State1&, const State2&) [with State1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; State2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Enabler = void]’
   45 |         return ( boost::size( x1 ) == boost::size( x2 ) );
      |                  ~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:57:67:   required from ‘static bool boost::numeric::odeint::same_size_impl<State1, State2>::same_size(const State1&, const State2&) [with State1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; State2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   57 |         return same_size_impl_sfinae< State1 , State2 >::same_size( x1 , x2 );
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:66:56:   required from ‘bool boost::numeric::odeint::same_size(const State1&, const State2&) [with State1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; State2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   66 |     return same_size_impl< State1 , State2 >::same_size( x1 , x2 );
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:34:20:   required from ‘bool boost::numeric::odeint::adjust_size_by_resizeability(ResizeWrappedState&, const State&, std::true_type) [with ResizeWrappedState = state_wrapper<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, void>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; std::true_type = std::true_type]’
   34 |     if ( !same_size( x.m_v , y ) )
      |           ~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:263:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5:   required from ‘struct boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  125 |         struct IncrementableIteratorConcept : CopyConstructible<Iterator>
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible<TT>::~CopyConstructible() [with TT = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  167 |     BOOST_CONCEPT_USAGE(CopyConstructible) {
      |     ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5:   required from ‘struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept<Iterator>::~IncrementableIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  136 |             BOOST_CONCEPT_USAGE(IncrementableIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5:   required from ‘struct boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable<TT>::~EqualityComparable() [with TT = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  233 |     BOOST_CONCEPT_USAGE(EqualityComparable) {
      |     ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5:   required from ‘struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9:   required from ‘struct boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5:   required from ‘struct boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  125 |         struct IncrementableIteratorConcept : CopyConstructible<Iterator>
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible<TT>::~CopyConstructible() [with TT = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  167 |     BOOST_CONCEPT_USAGE(CopyConstructible) {
      |     ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept<Iterator>::~IncrementableIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  136 |             BOOST_CONCEPT_USAGE(IncrementableIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5:   required from ‘struct boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable<TT>::~EqualityComparable() [with TT = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  233 |     BOOST_CONCEPT_USAGE(EqualityComparable) {
      |     ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9:   required from ‘struct boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_CS.cpp:303:29:   required from here
  303 |     daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
DAISIE_CS.cpp:31:10: warning: ‘{anonymous}::abm_factor’ defined but not used [-Wunused-variable]
   31 |   double abm_factor = default_abm_factor;
      |          ^~~~~~~~~~
g++-14 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -D_HAS_AUTO_PTR_ETC=0 -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3   -fpic  -g -O2 -Wall -pedantic -mtune=native  -DR_NO_REMAP -c DAISIE_IW.cpp -o DAISIE_IW.o
In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21,
                 from DAISIE_types.h:14,
                 from DAISIE_odeint.h:13,
                 from DAISIE_IW.cpp:16:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses]
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses
  194 | failed ************ (Pred::************
      |                     ^~~~~~~~~~~~~~~~~~~
      |                     -
  195 |       assert_arg( void (*)(Pred), typename assert_arg_pred<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  196 |     );
      |     ~                
      |     -
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses]
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses
  199 | failed ************ (boost::mpl::not_<Pred>::************
      |                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
      |                     -
  200 |       assert_not_arg( void (*)(Pred), typename assert_arg_pred_not<Pred>::type )
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  201 |     );
      |     ~                
      |     -
In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25,
                 from DAISIE_IW.cpp:18:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<float, 4>’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<float> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<float, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<float> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<float>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<float>::type’ {aka ‘__m128’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet<double, 4>’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from ‘struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >’
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from ‘struct Eigen::internal::traits<Eigen::Quaternion<double> >’
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>’
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from ‘class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>’
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from ‘class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >’
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from ‘class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >’
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from ‘class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >’
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from ‘class Eigen::Matrix<double, 4, 1>’
  178 | class Matrix
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from ‘class Eigen::QuaternionBase<Eigen::Quaternion<double> >’
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from ‘class Eigen::Quaternion<double>’
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from ‘class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >’
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from ‘class Eigen::SparseMatrix<double, 0, int>’
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   47 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:29:101:   required from ‘struct Eigen::internal::traits<Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >’
   29 |                                typename remove_const<typename RhsXprType::Scalar>::type>::ResScalar Scalar;
      |                                                                                                     ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:33:44:   required from ‘class Eigen::TensorBase<Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, 0>’
   33 |     typedef typename DerivedTraits::Scalar Scalar;
      |                                            ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:325:7:   required from ‘class Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>’
  325 | class TensorContractionOp : public TensorBase<TensorContractionOp<Indices, LhsXprType, RhsXprType, OutputKernelType>, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:180:62:   required from here
  180 |       (laa_ * xx_slice(1,2) + c_[7] * xx_slice(1,1)).contract(ki_, product_dims);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/Tensor:123,
                 from DAISIE_IW.cpp:19:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:135:58: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  135 |           Expression, DefaultDevice>::PacketReturnType>::size;
      |                                                          ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of ‘const int Eigen::internal::EvalRange<Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >, Eigen::ThreadPoolDevice>, long int, true>::PacketSize’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:293:31:   required from ‘static void Eigen::internal::EvalRange<Evaluator, StorageIndex, true>::run(Evaluator*, StorageIndex, StorageIndex) [with Evaluator = Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >, Eigen::ThreadPoolDevice>; StorageIndex = long int]’
  293 |     if (lastIdx - firstIdx >= PacketSize) {
      |                               ^~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:341:42:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  341 |                            EvalRange::run(&evaluator, firstIdx, lastIdx);
      |                            ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:286:62: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  286 |       unpacket_traits<typename Evaluator::PacketReturnType>::size;
      |                                                              ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::Tensor<double, 2>, const Eigen::TensorMap<Eigen::Tensor<const double, 2> > >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/Tensor.h:432:65:   required from ‘Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>& Eigen::Tensor<Scalar_, NumIndices_, Options_, IndexType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMap<Eigen::Tensor<const double, 2> >; Scalar_ = double; int NumIndices_ = 2; int Options_ = 0; IndexType_ = long int]’
  432 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:130:34:   required from ‘{anonymous}::cpp_daisie_iw<Rank>::cpp_daisie_iw(Rcpp::List) [with int Rank = 2; Rcpp::List = Rcpp::Vector<19>]’
  130 |       ki_ = cmmap(ki.begin(), dim);
      |                                  ^
/usr/include/c++/14/bits/unique_ptr.h:1077:30:   required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = {anonymous}::cpp_daisie_iw<2>; _Args = {Rcpp::Vector<19, Rcpp::PreserveStorage>&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t<{anonymous}::cpp_daisie_iw<2> >]’
 1077 |     { return unique_ptr<_Tp>(new _Tp(std::forward<_Args>(__args)...)); }
      |                              ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:208:49:   required from here
  208 |         iw2 = std::make_unique<cpp_daisie_iw<2>>(pars);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:135:58: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorAssignOp<Eigen::Tensor<double, 2>, const Eigen::TensorMap<Eigen::Tensor<const double, 2> > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  135 |           Expression, DefaultDevice>::PacketReturnType>::size;
      |                                                          ^~~~
In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/Tensor:91:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h: In instantiation of ‘Eigen::TensorOpCost Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::contractionCost(Index, Index, Index, Index, Index, bool, bool) const [with Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:158:9:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  158 |         contractionCost(m, n, bm, bn, bk, shard_by_col, false);
      |         ^~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1562:81: warning: ignoring attributes on template argument ‘Eigen::PacketType<double, Eigen::ThreadPoolDevice>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1562 |     const int output_packet_size = internal::unpacket_traits<PacketReturnType>::size;
      |                                                                                 ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h: In instantiation of ‘int Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::numThreadsInnerDim(Index, Index, Index) const [with Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:161:28:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  161 |     int num_threads_by_k = numThreadsInnerDim(m, n, k);
      |                            ^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1629:81: warning: ignoring attributes on template argument ‘Eigen::PacketType<double, Eigen::ThreadPoolDevice>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1629 |     const int output_packet_size = internal::unpacket_traits<PacketReturnType>::size;
      |                                                                                 ^~~~
In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/Tensor:90:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 0>’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>, 0, false, double, Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 16, Eigen::MakePointer>, false, 0>’
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:767:117:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  767 |     internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  768 |         rows, cols, lhs, rhs,
      |         ~~~~~~~~~~~~~~~~~~~~~                                                                                        
  769 |         buffer, resIncr, alpha);
      |         ~~~~~~~~~~~~~~~~~~~~~~~                                                                                      
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 1>’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>, 0, false, double, Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 16, Eigen::MakePointer>, false, 0>’
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:767:117:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  767 |     internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  768 |         rows, cols, lhs, rhs,
      |         ~~~~~~~~~~~~~~~~~~~~~                                                                                        
  769 |         buffer, resIncr, alpha);
      |         ~~~~~~~~~~~~~~~~~~~~~~~                                                                                      
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits<double, double, 2>’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from ‘struct Eigen::internal::general_matrix_vector_product<long int, double, Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>, 0, false, double, Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 16, Eigen::MakePointer>, false, 0>’
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:767:117:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  767 |     internal::general_matrix_vector_product<Index,LhsScalar,LhsMapper,ColMajor,false,RhsScalar,RhsMapper,false>::run(
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  768 |         rows, cols, lhs, rhs,
      |         ~~~~~~~~~~~~~~~~~~~~~                                                                                        
  769 |         buffer, resIncr, alpha);
      |         ~~~~~~~~~~~~~~~~~~~~~~~                                                                                      
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
   42 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h: In instantiation of ‘Eigen::TensorOpCost Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::contractionCostPerInnerDim(Index, Index, Index) const [with Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1630:25:   required from ‘int Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::numThreadsInnerDim(Index, Index, Index) const [with Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Index = long int]’
 1630 |     TensorOpCost cost = contractionCostPerInnerDim(m, n, k);
      |                         ^~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:161:28:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  161 |     int num_threads_by_k = numThreadsInnerDim(m, n, k);
      |                            ^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1616:81: warning: ignoring attributes on template argument ‘Eigen::PacketType<double, Eigen::ThreadPoolDevice>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1616 |     const int output_packet_size = internal::unpacket_traits<PacketReturnType>::size;
      |                                                                                 ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  719 |       this->template evalGemv<lhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  720 |                               rhs_inner_dim_contiguous, rhs_inner_dim_reordered,
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  721 |                               Alignment>(buffer);
      |                               ~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  740 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  741 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’
 1017 |     TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer));
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h: In instantiation of ‘static void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::addAllToBuffer(std::size_t, const Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Scalar*, const Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Scalar*, const Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Scalar*, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Scalar*) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; std::size_t = long unsigned int; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Scalar = double]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1278:34:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::aggregateL0Blocks() const [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1278 |         addAllToBuffer<Alignment>(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~^
 1279 |             m * n,
      |             ~~~~~~                
 1280 |             /*src_buf0=*/block_buffers[(l0_index + 0) * l0_size],
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1281 |             /*src_buf1=*/block_buffers[(l0_index + 1) * l0_size],
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1282 |             /*src_buf2=*/block_buffers[(l0_index + 2) * l0_size],
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1283 |             /*dst_buf= */ block_buffers[0]);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1166:35:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1166 |       aggregateL0Blocks<Alignment>();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  168 |         ctx.template run<Alignment>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1348:56: warning: ignoring attributes on template argument ‘Eigen::PacketType<double, Eigen::ThreadPoolDevice>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1348 |           internal::unpacket_traits<PacketReturnType>::size;
      |                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h: In instantiation of ‘static void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::addToBuffer(std::size_t, const Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Scalar*, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Scalar*) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; std::size_t = long unsigned int; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Scalar = double]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1287:31:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::aggregateL0Blocks() const [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1287 |         addToBuffer<Alignment>(m * n, block_buffers[l0_index * l0_size],
      |         ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1288 |                                block_buffers[0]);
      |                                ~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1166:35:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1166 |       aggregateL0Blocks<Alignment>();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  168 |         ctx.template run<Alignment>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1319:56: warning: ignoring attributes on template argument ‘Eigen::PacketType<double, Eigen::ThreadPoolDevice>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 1319 |           internal::unpacket_traits<PacketReturnType>::size;
      |                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
   76 |     evalProductImpl<NoCallback, Alignment>(buffer, NoCallback());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  703 |    static_cast<const Derived*>(this)->template evalProduct<Unaligned>(buffer);
      |    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:259:5:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::invoke(const OutputMapper&, LhsScalar* const&, RhsScalar* const&, StorageIndex, StorageIndex, StorageIndex, ResScalar, ResScalar) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>; LhsBlock = double*; RhsBlock = double*]’
  259 |     GebpKernel()(output_mapper, lhsBlock, rhsBlock, rows, depth, cols, alpha,
      |     ^~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:900:24:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’
  900 |           kernel.invoke(output_mapper, blockA, blockB, actual_mc, actual_kc,
      |           ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  901 |                         actual_nc, alpha, beta);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from ‘struct Eigen::internal::gebp_kernel<double, double, long int, Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>, 4, 4, false, false>’
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:259:5:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::invoke(const OutputMapper&, LhsScalar* const&, RhsScalar* const&, StorageIndex, StorageIndex, StorageIndex, ResScalar, ResScalar) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>; LhsBlock = double*; RhsBlock = double*]’
  259 |     GebpKernel()(output_mapper, lhsBlock, rhsBlock, rows, depth, cols, alpha,
      |     ^~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:900:24:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’
  900 |           kernel.invoke(output_mapper, blockA, blockB, actual_mc, actual_kc,
      |           ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  901 |                         actual_nc, alpha, beta);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’
  384 |   prefix ## name ## Packet
      |   ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/assert.hpp:35,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:20,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:19,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/size_type.hpp:20,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/size.hpp:21,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/functions.hpp:20,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range.hpp:18,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resize.hpp:24,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33,
                 from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint.hpp:25,
                 from DAISIE_odeint.h:14:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5:   required from ‘struct boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  125 |         struct IncrementableIteratorConcept : CopyConstructible<Iterator>
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
In file included from /home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:31:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5:   required from ‘struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_concepts.hpp:114:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/iterator/iterator_concepts.hpp:114:7:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5:   required from ‘struct boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5:   required from ‘struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:152:13:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:152:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9:   required from ‘struct boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9:   required from ‘struct boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13:   required from ‘OutputIterator boost::range::copy(const SinglePassRange&, OutputIterator) [with SinglePassRange = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; OutputIterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:38:27:   required from ‘void boost::numeric::odeint::detail::do_copying(const Container1&, Container2&, std::integral_constant<bool, true>) [with Container1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Container2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   38 |         boost::range::copy( from , boost::begin( to ) );
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:61:27:   required from ‘static void boost::numeric::odeint::copy_impl_sfinae<Container1, Container2, Enabler>::copy(const Container1&, Container2&) [with Container1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Container2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Enabler = void]’
   61 |         detail::do_copying( from , to , is_range_type() );
      |         ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:71:58:   required from ‘static void boost::numeric::odeint::copy_impl<Container1, Container2>::copy(const Container1&, Container2&) [with Container1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Container2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   71 |         copy_impl_sfinae< Container1 , Container2 >::copy( from , to );
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:79:47:   required from ‘void boost::numeric::odeint::copy(const Container1&, Container2&) [with Container1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Container2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   79 |     copy_impl< Container1 , Container2 >::copy( from , to );
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:241:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packLhs(LhsScalar**, const typename LhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>; LhsBlock = double*; typename LhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>]’
  241 |     LhsPacker()(*lhsBlock, data_mapper, depth, rows, /*stride*/ 0,
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         /*offset*/ 0);
      |         ~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:881:23:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’
  881 |         kernel.packLhs(&blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>]’
  248 |     RhsPacker()(*rhsBlock, data_mapper, depth, cols);
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’
  894 |           kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  895 |                          actual_nc);
      |                          ~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel<LhsScalar, RhsScalar, Index, DataMapper, mr, nr, ConjugateLhs, ConjugateRhs>::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:259:17:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::invoke(const OutputMapper&, LhsScalar* const&, RhsScalar* const&, StorageIndex, StorageIndex, StorageIndex, ResScalar, ResScalar) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>; LhsBlock = double*; RhsBlock = double*]’
  259 |     GebpKernel()(output_mapper, lhsBlock, rhsBlock, rows, depth, cols, alpha,
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  260 |         /*strideA*/ kComputeStrideFromBlockDimensions,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  261 |         /*strideB*/ kComputeStrideFromBlockDimensions,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  262 |         /*offsetA*/ 0, /*offsetB*/ 0);
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:900:24:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’
  900 |           kernel.invoke(output_mapper, blockA, blockB, actual_mc, actual_kc,
      |           ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  901 |                         actual_nc, alpha, beta);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>]’
  248 |     RhsPacker()(*rhsBlock, data_mapper, depth, cols);
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’
  894 |           kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  895 |                          actual_nc);
      |                          ~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, true, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, true, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, true, 0, Eigen::MakePointer>]’
  248 |     RhsPacker()(*rhsBlock, data_mapper, depth, cols);
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’
  894 |           kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  895 |                          actual_nc);
      |                          ~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>]’
  248 |     RhsPacker()(*rhsBlock, data_mapper, depth, cols);
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’
  894 |           kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  895 |                          actual_nc);
      |                          ~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:241:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packLhs(LhsScalar**, const typename LhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::DefaultDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>; LhsBlock = double*; typename LhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>]’
  241 |     LhsPacker()(*lhsBlock, data_mapper, depth, rows, /*stride*/ 0,
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         /*offset*/ 0);
      |         ~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:881:23:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’
  881 |         kernel.packLhs(&blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::DefaultDevice, true, Eigen::internal::Off>::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >]’
  131 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65:   required from ‘Derived& Eigen::TensorBase<Derived, AccessLevel>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; int AccessLevel = 1]’
 1164 |       internal::TensorExecutor<const Assign, DefaultDevice>::run(assign, DefaultDevice());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:185:12:   required from here
  185 |       dx = ddx;
      |            ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5:   required from ‘struct boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  125 |         struct IncrementableIteratorConcept : CopyConstructible<Iterator>
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5:   required from ‘struct boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9:   required from ‘struct boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9:   required from ‘struct boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   required from ‘struct boost::concepts::requirement_<void (*)(boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >)>’
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |     ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9:   required from ‘typename boost::range_size<const SinglePassRange>::type boost::size(const SinglePassRange&) [with SinglePassRange = numeric::ublas::vector<double, numeric::ublas::unbounded_array<double, std::allocator<double> > >; typename range_size<const SinglePassRange>::type = long unsigned int]’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:45:29:   required from ‘static bool boost::numeric::odeint::same_size_impl_sfinae<State1, State2, Enabler>::same_size(const State1&, const State2&) [with State1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; State2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Enabler = void]’
   45 |         return ( boost::size( x1 ) == boost::size( x2 ) );
      |                  ~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:57:67:   required from ‘static bool boost::numeric::odeint::same_size_impl<State1, State2>::same_size(const State1&, const State2&) [with State1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; State2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   57 |         return same_size_impl_sfinae< State1 , State2 >::same_size( x1 , x2 );
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:66:56:   required from ‘bool boost::numeric::odeint::same_size(const State1&, const State2&) [with State1 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; State2 = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   66 |     return same_size_impl< State1 , State2 >::same_size( x1 , x2 );
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:34:20:   required from ‘bool boost::numeric::odeint::adjust_size_by_resizeability(ResizeWrappedState&, const State&, std::true_type) [with ResizeWrappedState = state_wrapper<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, void>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; std::true_type = std::true_type]’
   34 |     if ( !same_size( x.m_v , y ) )
      |           ~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:263:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull]
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5:   required from ‘struct boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  125 |         struct IncrementableIteratorConcept : CopyConstructible<Iterator>
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible<TT>::~CopyConstructible() [with TT = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  167 |     BOOST_CONCEPT_USAGE(CopyConstructible) {
      |     ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5:   required from ‘struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept<Iterator>::~IncrementableIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  136 |             BOOST_CONCEPT_USAGE(IncrementableIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5:   required from ‘struct boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable<TT>::~EqualityComparable() [with TT = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  233 |     BOOST_CONCEPT_USAGE(EqualityComparable) {
      |     ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5:   required from ‘struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::single_pass_traversal_tag> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible<X, Y>::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  208 |     BOOST_CONCEPT_USAGE(Convertible) {
      |     ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::const_iterator]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9:   required from ‘struct boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41:   required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller<Stepper>::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4<double>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; time_type = double]’
  106 |             boost::numeric::odeint::copy( m_xnew.m_v , x );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30:   required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller<boost::numeric::odeint::rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’
  103 |             res = st.try_step( system , start_state , start_time , dt );
      |                   ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Observer = null_observer; size_t = long unsigned int]’
   40 |     return detail::integrate_adaptive(
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^
   41 |             stepper , system , start_state ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   42 |             start_time , end_time , dt ,
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   43 |             observer , stepper_category() );
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30:   required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller<rosenbrock4<double> >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; size_t = long unsigned int]’
   81 |     return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() );
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:195:25:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  195 |       integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0));
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = const boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  794 |     evalGemmPartial<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  795 |                     rhs_inner_dim_reordered, Alignment,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  796 |         /*use_output_kernel*/ false>(buffer, k_start, k_end,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
  797 |                                      num_threads);
      |                                      ~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::processBlock(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1239 |           evaluator->template evalGemmPartialWithoutOutputKernel, Alignment,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1240 |           (buf, begin, end,
      |           ^~~~~~~~~~~~~~~~~
 1241 |            /*num_threads=*/internal::convert_index<int>(num_blocks)));
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::eval(Eigen::Barrier&, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1383 |       processBlock<Alignment>(block_idx, block_start, block_end);
      |       ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1162 |       eval<Alignment>(barrier, 0, num_blocks);
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  168 |         ctx.template run<Alignment>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  794 |     evalGemmPartial<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  795 |                     rhs_inner_dim_reordered, Alignment,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  796 |         /*use_output_kernel*/ false>(buffer, k_start, k_end,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
  797 |                                      num_threads);
      |                                      ~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::processBlock(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1239 |           evaluator->template evalGemmPartialWithoutOutputKernel, Alignment,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1240 |           (buf, begin, end,
      |           ^~~~~~~~~~~~~~~~~
 1241 |            /*num_threads=*/internal::convert_index<int>(num_blocks)));
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::eval(Eigen::Barrier&, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1383 |       processBlock<Alignment>(block_idx, block_start, block_end);
      |       ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1162 |       eval<Alignment>(barrier, 0, num_blocks);
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  168 |         ctx.template run<Alignment>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  794 |     evalGemmPartial<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  795 |                     rhs_inner_dim_reordered, Alignment,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  796 |         /*use_output_kernel*/ false>(buffer, k_start, k_end,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
  797 |                                      num_threads);
      |                                      ~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::processBlock(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1239 |           evaluator->template evalGemmPartialWithoutOutputKernel, Alignment,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1240 |           (buf, begin, end,
      |           ^~~~~~~~~~~~~~~~~
 1241 |            /*num_threads=*/internal::convert_index<int>(num_blocks)));
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::eval(Eigen::Barrier&, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1383 |       processBlock<Alignment>(block_idx, block_start, block_end);
      |       ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1162 |       eval<Alignment>(barrier, 0, num_blocks);
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  168 |         ctx.template run<Alignment>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  794 |     evalGemmPartial<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  795 |                     rhs_inner_dim_reordered, Alignment,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  796 |         /*use_output_kernel*/ false>(buffer, k_start, k_end,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
  797 |                                      num_threads);
      |                                      ~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::processBlock(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1239 |           evaluator->template evalGemmPartialWithoutOutputKernel, Alignment,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1240 |           (buf, begin, end,
      |           ^~~~~~~~~~~~~~~~~
 1241 |            /*num_threads=*/internal::convert_index<int>(num_blocks)));
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::eval(Eigen::Barrier&, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1383 |       processBlock<Alignment>(block_idx, block_start, block_end);
      |       ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1162 |       eval<Alignment>(barrier, 0, num_blocks);
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  168 |         ctx.template run<Alignment>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  794 |     evalGemmPartial<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  795 |                     rhs_inner_dim_reordered, Alignment,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  796 |         /*use_output_kernel*/ false>(buffer, k_start, k_end,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
  797 |                                      num_threads);
      |                                      ~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::processBlock(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1239 |           evaluator->template evalGemmPartialWithoutOutputKernel, Alignment,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1240 |           (buf, begin, end,
      |           ^~~~~~~~~~~~~~~~~
 1241 |            /*num_threads=*/internal::convert_index<int>(num_blocks)));
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::eval(Eigen::Barrier&, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1383 |       processBlock<Alignment>(block_idx, block_start, block_end);
      |       ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1162 |       eval<Alignment>(barrier, 0, num_blocks);
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  168 |         ctx.template run<Alignment>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  794 |     evalGemmPartial<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  795 |                     rhs_inner_dim_reordered, Alignment,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  796 |         /*use_output_kernel*/ false>(buffer, k_start, k_end,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
  797 |                                      num_threads);
      |                                      ~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::processBlock(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1239 |           evaluator->template evalGemmPartialWithoutOutputKernel, Alignment,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1240 |           (buf, begin, end,
      |           ^~~~~~~~~~~~~~~~~
 1241 |            /*num_threads=*/internal::convert_index<int>(num_blocks)));
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::eval(Eigen::Barrier&, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1383 |       processBlock<Alignment>(block_idx, block_start, block_end);
      |       ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1162 |       eval<Alignment>(barrier, 0, num_blocks);
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  168 |         ctx.template run<Alignment>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  794 |     evalGemmPartial<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  795 |                     rhs_inner_dim_reordered, Alignment,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  796 |         /*use_output_kernel*/ false>(buffer, k_start, k_end,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
  797 |                                      num_threads);
      |                                      ~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::processBlock(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1239 |           evaluator->template evalGemmPartialWithoutOutputKernel, Alignment,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1240 |           (buf, begin, end,
      |           ^~~~~~~~~~~~~~~~~
 1241 |            /*num_threads=*/internal::convert_index<int>(num_blocks)));
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::eval(Eigen::Barrier&, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1383 |       processBlock<Alignment>(block_idx, block_start, block_end);
      |       ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1162 |       eval<Alignment>(barrier, 0, num_blocks);
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  168 |         ctx.template run<Alignment>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  794 |     evalGemmPartial<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  795 |                     rhs_inner_dim_reordered, Alignment,
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  796 |         /*use_output_kernel*/ false>(buffer, k_start, k_end,
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
  797 |                                      num_threads);
      |                                      ~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::processBlock(Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1239 |           evaluator->template evalGemmPartialWithoutOutputKernel, Alignment,
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1240 |           (buf, begin, end,
      |           ^~~~~~~~~~~~~~~~~
 1241 |            /*num_threads=*/internal::convert_index<int>(num_blocks)));
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::eval(Eigen::Barrier&, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::Index = long int]’
 1383 |       processBlock<Alignment>(block_idx, block_start, block_end);
      |       ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext<DoneCallback>::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel]’
 1162 |       eval<Alignment>(barrier, 0, num_blocks);
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  168 |         ctx.template run<Alignment>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  819 |     const Index lhs_packet_size = internal::unpacket_traits<typename LeftEvaluator::PacketReturnType>::size;
      |                                                                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes]
  820 |     const Index rhs_packet_size = internal::unpacket_traits<typename RightEvaluator::PacketReturnType>::size;
      |                                                                                                         ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:241:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packLhs(LhsScalar**, const typename LhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>; LhsBlock = double*; typename LhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>]’
  241 |     LhsPacker()(*lhsBlock, data_mapper, depth, rows, /*stride*/ 0,
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         /*offset*/ 0);
      |         ~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:881:23:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  881 |         kernel.packLhs(&blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>]’
  248 |     RhsPacker()(*rhsBlock, data_mapper, depth, cols);
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  894 |           kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  895 |                          actual_nc);
      |                          ~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>]’
  248 |     RhsPacker()(*rhsBlock, data_mapper, depth, cols);
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  894 |           kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  895 |                          actual_nc);
      |                          ~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, true, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, true, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, true, 0, Eigen::MakePointer>]’
  248 |     RhsPacker()(*rhsBlock, data_mapper, depth, cols);
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  894 |           kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  895 |                          actual_nc);
      |                          ~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs<Scalar, Index, DataMapper, nr, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>]’
  248 |     RhsPacker()(*rhsBlock, data_mapper, depth, cols);
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  894 |           kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  895 |                          actual_nc);
      |                          ~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits<double>::type’ {aka ‘__m128d’} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:241:16:   required from ‘void Eigen::internal::TensorContractionKernel<ResScalar, LhsScalar, RhsScalar, StorageIndex, OutputMapper, LhsMapper, RhsMapper>::packLhs(LhsScalar**, const typename LhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper<double, long int, 0, 0, 1>; LhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper<double, long int, 0, Eigen::TensorEvaluator<const Eigen::Tensor<double, 2>, Eigen::ThreadPoolDevice>, std::array<long int, 1>, std::array<long int, 1>, 2, true, true, 0, Eigen::MakePointer>; LhsBlock = double*; typename LhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper<double, long int, 1, Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array<long int, 2>, std::array<long int, 1>, 2, false, false, 0, Eigen::MakePointer>]’
  241 |     LhsPacker()(*lhsBlock, data_mapper, depth, rows, /*stride*/ 0,
      |     ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  242 |         /*offset*/ 0);
      |         ~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:881:23:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’
  881 |         kernel.packLhs(&blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  784 |     this->template evalGemmPartial<lhs_inner_dim_contiguous,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  785 |                                    rhs_inner_dim_contiguous,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~
  786 |                                    rhs_inner_dim_reordered,
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~
  787 |                                    Alignment, true>(buffer, 0, k, 1);
      |                                    ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66:   required from ‘void Eigen::TensorContractionEvaluatorBase<Derived>::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’
  723 |       this->template evalGemm<lhs_inner_dim_contiguous, rhs_inner_dim_contiguous,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  724 |                               rhs_inner_dim_reordered, Alignment>(buffer);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7:   required from ‘void Eigen::TensorEvaluator<const Eigen::TensorContractionOp<Dimensions, LhsXprType, RhsXprType, OutputKernelType>, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array<std::pair<long int, long int>, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor<double, 2>; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’
  183 |       TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential,
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  184 |                                   Unaligned, (buffer));
      |                                   ~~~~~~~~~~~^~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7:   required from ‘bool Eigen::TensorContractionEvaluatorBase<Derived>::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator<const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’
  609 |       evalTo(data);
      |       ^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorCwiseBinaryOp<BinaryOp, LeftArgType, RightArgType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op<double, double>; LeftArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  617 |     m_rightImpl.evalSubExprsIfNeeded(NULL);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44:   required from ‘bool Eigen::TensorEvaluator<const Eigen::TensorAssignOp<LhsXprType, RhsXprType>, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’
  152 |     return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data());
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61:   required from ‘static void Eigen::internal::TensorExecutor<Expression, Eigen::ThreadPoolDevice, Vectorizable, Tiling>::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp<Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’
  335 |     const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr);
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62:   required from ‘Eigen::TensorDevice<ExpressionType, DeviceType>& Eigen::TensorDevice<ExpressionType, DeviceType>::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp<const std::array<std::pair<long int, long int>, 1>, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::TensorCwiseUnaryOp<Eigen::internal::bind1st_op<Eigen::internal::scalar_product_op<const double, const double> >, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp<Eigen::internal::scalar_product_op<const double, const double>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp<const std::array<long int, 3>, const Eigen::DSizes<long int, 3>, const Eigen::TensorPaddingOp<const std::array<std::pair<long int, long int>, 3>, const Eigen::TensorMap<const Eigen::Tensor<const double, 3, 0, long int>, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor<double, 2>, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap<Eigen::Tensor<double, 3, 0, long int>, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’
   37 |       internal::TensorExecutor<const Assign, DeviceType>::run(assign, m_device);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
DAISIE_IW.cpp:182:25:   required from here
  182 |       dx.device(*dev) = ddx;
      |                         ^~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5:   required from ‘struct boost::CopyConstructible<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  125 |         struct IncrementableIteratorConcept : CopyConstructible<Iterator>
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible<TT>::~CopyConstructible() [with TT = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  167 |     BOOST_CONCEPT_USAGE(CopyConstructible) {
      |     ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13:   required from ‘struct boost::range_detail::IncrementableIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept<Iterator>::~IncrementableIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  136 |             BOOST_CONCEPT_USAGE(IncrementableIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5:   required from ‘struct boost::EqualityComparable<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
  147 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable<TT>::~EqualityComparable() [with TT = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  233 |     BOOST_CONCEPT_USAGE(EqualityComparable) {
      |     ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13:   required from ‘struct boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator>]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::range_detail::SinglePassIteratorConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator> >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept<Iterator>::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >::iterator]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  158 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements<Model>::~usage_requirements() [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’:
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47:   required from ‘static void boost::concepts::requirement<boost::concepts::failed************ Model::************>::failed() [with Model = boost::concepts::usage_requirements<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >]’
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9:   required from ‘struct boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >’
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62:   required by substitution of ‘template<class Model> boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints<Model, (& Model::constraints)>*) [with Model = boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >]’
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   required from ‘const bool boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >::value’
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   required from ‘struct boost::concepts::not_satisfied<boost::SinglePassRangeConcept<boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > > >’
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21:   required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize<std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > > >(std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >&, time_type&, time_type)::<lambda(auto:44&&)>]’
   73 |             return f( x );
      |                    ~^~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper<boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  196 |         m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl<StateIn>(std::forward<decltype(arg)>(arg)); });
      |         ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19:   required from ‘void boost::numeric::odeint::adams_bashforth<Steps, State, Value, Deriv, Time, Algebra, Operations, Resizer, InitializingStepper>::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Value = double; Deriv = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’
  212 |         initialize( std::ref( m_initializing_stepper ) , system , x , t , dt );
      |         ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:92:18:   required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   92 |     ab.initialize(rhs, y, t0, abm_factor * (t1 - t0));
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
DAISIE_odeint.h:164:22:   required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string<char>; state_type = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
  164 |       case '1': ab<1>(rhs, y, t0, t1); break;
      |                 ~~~~~^~~~~~~~~~~~~~~~
DAISIE_IW.cpp:245:27:   required from here
  245 |   daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept<T>::~SinglePassRangeConcept() [with T = boost::numeric::ublas::vector<double, boost::numeric::ublas::unbounded_array<double, std::allocator<double> > >]’
   37 |       ~model()
      |       ^
/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’
  284 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
gfortran-14 -std=f2018 -fpic  -g -O2 -Wall -pedantic -mtune=native  -c  DAISIE_loglik_rhs_FORTRAN.f95 -o DAISIE_loglik_rhs_FORTRAN.o
DAISIE_loglik_rhs_FORTRAN.f95:84:35:

   84 |       SUBROUTINE daisie_runmod (neq, t, Conc, dConc, yout, ip)
      |                                   1
Warning: Unused dummy argument ‘neq’ at (1) [-Wunused-dummy-argument]
DAISIE_loglik_rhs_FORTRAN.f95:84:38:

   84 |       SUBROUTINE daisie_runmod (neq, t, Conc, dConc, yout, ip)
      |                                      1
Warning: Unused dummy argument ‘t’ at (1) [-Wunused-dummy-argument]
DAISIE_loglik_rhs_FORTRAN.f95:225:30:

  225 |       DOUBLE PRECISION  :: FF1, FFF
      |                              1
Warning: Unused variable ‘ff1’ declared at (1) [-Wunused-variable]
DAISIE_loglik_rhs_FORTRAN.f95:225:35:

  225 |       DOUBLE PRECISION  :: FF1, FFF
      |                                   1
Warning: Unused variable ‘fff’ declared at (1) [-Wunused-variable]
DAISIE_loglik_rhs_FORTRAN.f95:232:28:

  232 |       CHARACTER(len=100) msg
      |                            1
Warning: Unused variable ‘msg’ declared at (1) [-Wunused-variable]
DAISIE_loglik_rhs_FORTRAN.f95:211:36:

  211 |       SUBROUTINE daisie_runmod1 (neq, t, Conc, dConc, yout, ip)
      |                                    1
Warning: Unused dummy argument ‘neq’ at (1) [-Wunused-dummy-argument]
DAISIE_loglik_rhs_FORTRAN.f95:228:28:

  228 |       DOUBLE PRECISION rn(2)
      |                            1
Warning: Unused variable ‘rn’ declared at (1) [-Wunused-variable]
DAISIE_loglik_rhs_FORTRAN.f95:211:39:

  211 |       SUBROUTINE daisie_runmod1 (neq, t, Conc, dConc, yout, ip)
      |                                       1
Warning: Unused dummy argument ‘t’ at (1) [-Wunused-dummy-argument]
DAISIE_loglik_rhs_FORTRAN.f95:384:36:

  384 |       SUBROUTINE daisie_runmod2 (neq, t, Conc, dConc, yout, ip)
      |                                    1
Warning: Unused dummy argument ‘neq’ at (1) [-Wunused-dummy-argument]
DAISIE_loglik_rhs_FORTRAN.f95:384:39:

  384 |       SUBROUTINE daisie_runmod2 (neq, t, Conc, dConc, yout, ip)
      |                                       1
Warning: Unused dummy argument ‘t’ at (1) [-Wunused-dummy-argument]
gcc-14 -I"/home/hornik/tmp/R-d-gcc-14/include" -DNDEBUG -D_HAS_AUTO_PTR_ETC=0 -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.5/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3   -fpic  -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native  -c R_init_DAISIE.c -o R_init_DAISIE.o
g++-14 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-14/lib -Wl,-O1 -o DAISIE.so DAISIE_CS.o DAISIE_IW.o DAISIE_loglik_rhs_FORTRAN.o R_init_DAISIE.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-14/lib -lR
installing to /home/hornik/tmp/CRAN_recheck/DAISIE.Rcheck/00LOCK-DAISIE/00new/DAISIE/libs
** R
** data
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** installing vignettes
** testing if installed package can be loaded from temporary location
** checking absolute paths in shared objects and dynamic libraries
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (DAISIE)