I'm trying to compile the following code:
#include <boost/optional.hpp>
void foo(boost::optional<unsigned> x = boost::none);
placed in the file a.cu
, with the CUDA compiler, using the following command line:
nvcc a.cu -c --std=c++11 -I/opt/boost/include
but I get a bunch of errors:
a.cu:2:53: error: conversion from ‘const boost::none_t(boost::none_t::init_tag (*)())’ to ‘boost::optional<unsigned int>’ is ambiguous
void foo(boost::optional<unsigned> x = boost::none);
^
/opt/boost/include/boost/optional/optional.hpp:805:1: note: candidate: boost::optional<T>::optional(boost::optional<T>::rval_reference_type) [with T = unsigned int; boost::optional<T>::rval_reference_type = unsigned int&&] <near match>
optional ( rval_reference_type val ) : base( boost::forward<T>(val) )
^ ~~~~
/opt/boost/include/boost/optional/optional.hpp:805:1: note: conversion of argument 1 would be ill-formed:
a.cu:2:53: error: invalid conversion from ‘const boost::none_t (*)(boost::none_t::init_tag (*)())’ to ‘unsigned int’ [-fpermissive]
void foo(boost::optional<unsigned> x = boost::none);
^
/opt/boost/include/boost/optional/optional.hpp:800:1: note: candidate: boost::optional<T>::optional(boost::optional<T>::argument_type) [with T = unsigned int; boost::optional<T>::argument_type = const unsigned int&] <near match>
optional ( argument_type val ) : base(val) {}
^ ~~~~
/opt/boost/include/boost/optional/optional.hpp:800:1: note: conversion of argument 1 would be ill-formed:
a.cu:2:53: error: invalid conversion from ‘const boost::none_t (*)(boost::none_t::init_tag (*)())’ to ‘unsigned int’ [-fpermissive]
void foo(boost::optional<unsigned> x = boost::none);
Why does this happen, and can I circumvent the problem while still actually using boost::optional in (host-side) code compiled with nvcc?
Additional information:
- The code compiles fine with g++ 6.3.0 (my distribution's compiler).
- This code (or rather, similar code) used to compile and work on an earlier Linux distribution I was using, where the compiler was g++ 5.4.x .
- I've tried this with Boost versions 1.65.1 and 1.69.0 .
- I've tried this with CUDA versions 9.2.88 and 10.0.130 .