boost float128 and Intel's _Quad with Tux Eigen
Hi, I have written a short program utilising boost::float128 together with tux Eigen which successfully compiles and runs using g++, however it fails when I use icc. The compiler error is /home/alex/boost/boost_1_71_0/boost/multiprecision/float128.hpp(727): error: no suitable constructor exists to convert from "const _Quad" to "boost::multiprecision::number<boost::multiprecision::backends::float128_backend, boost::multiprecision::et_off>" static number_type (min)() BOOST_NOEXCEPT { return BOOST_MP_QUAD_MIN; } ^ How can I resolve this? My example code is; #include <iostream> #include <cmath> #include <Eigen/Dense> #include <Eigen/Eigenvalues> #include <iomanip> #include <boost/cstdfloat.hpp> #include <boost/multiprecision/float128.hpp> #include <boost/math/special_functions.hpp> #include <boost/math/constants/constants.hpp> #include <quadmath.h> #define BOOST_MP_USE_QUAD using namespace Eigen; using namespace std; int main(){ typedef Matrix<complex<boost::multiprecision::float128>, Dynamic, Dynamic> MatrixXcmp; MatrixXcmp C = MatrixXcmp::Random(8,8); cout<<setprecision(128)<<C<<endl<<endl; ComplexEigenSolver<MatrixXcmp> ces; ces.compute(C); return 0; } It only fails compilation when I put in the line 'ces.compute(C);'. I compile with icpc quadtest.cpp -std=c++14 -Qoption,cpp,--extended_float_type -O2 -DMKL_LP64 -lmkl_intel_lp64 -fp-model precise -lmkl_sequential -lmkl_core -lpthread -lm -ldl -lquadmath Many thanks in advance, Alex
On 03/02/2020 21:33, Alex.Durie via Boost-users wrote:
Hi, I have written a short program utilising boost::float128 together with tux Eigen which successfully compiles and runs using g++, however it fails when I use icc. The compiler error is
/home/alex/boost/boost_1_71_0/boost/multiprecision/float128.hpp(727): error: no suitable constructor exists to convert from "const _Quad" to "boost::multiprecision::number<boost::multiprecision::backends::float128_backend, boost::multiprecision::et_off>" static number_type (min)() BOOST_NOEXCEPT { return BOOST_MP_QUAD_MIN; } ^ How can I resolve this?
I fear due to a lack of consistent testing support for the Intel compiler, we may well have dropped the ball and broken support for Intel's _Quad type. The good news is that Intel on Linux does support GCC's __float128 type, so my suggestion would be to: * Remove the #define BOOST_MP_USE_QUAD * Build with -std=gnu++14 rather than -std=c++14 * Remove the -Qoption,cpp,--extended_float_type option. HTH, John.
My example code is; #include <iostream> #include <cmath> #include <Eigen/Dense> #include <Eigen/Eigenvalues> #include <iomanip> #include <boost/cstdfloat.hpp> #include <boost/multiprecision/float128.hpp> #include <boost/math/special_functions.hpp> #include <boost/math/constants/constants.hpp> #include <quadmath.h> #define BOOST_MP_USE_QUAD
using namespace Eigen; using namespace std;
int main(){ typedef Matrix<complex<boost::multiprecision::float128>, Dynamic, Dynamic> MatrixXcmp; MatrixXcmp C = MatrixXcmp::Random(8,8); cout<<setprecision(128)<<C<<endl<<endl; ComplexEigenSolver<MatrixXcmp> ces; ces.compute(C); return 0; }
It only fails compilation when I put in the line 'ces.compute(C);'.
I compile with icpc quadtest.cpp -std=c++14 -Qoption,cpp,--extended_float_type -O2 -DMKL_LP64 -lmkl_intel_lp64 -fp-model precise -lmkl_sequential -lmkl_core -lpthread -lm -ldl -lquadmath
Many thanks in advance,
Alex
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