mirror of
https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
Rollback or PR-746 and partial rollback of 668ab3fc47
. std::array is still not supported in CUDA device code on Windows.
This commit is contained in:
@@ -507,6 +507,31 @@ inline Index first_multiple(Index size, Index base)
|
||||
return ((size+base-1)/base)*base;
|
||||
}
|
||||
|
||||
// std::copy is much slower than memcpy, so let's introduce a smart_copy which
|
||||
// use memcpy on trivial types, i.e., on types that does not require an initialization ctor.
|
||||
template<typename T, bool UseMemcpy> struct smart_copy_helper;
|
||||
|
||||
template<typename T> EIGEN_DEVICE_FUNC void smart_copy(const T* start, const T* end, T* target)
|
||||
{
|
||||
smart_copy_helper<T,!NumTraits<T>::RequireInitialization>::run(start, end, target);
|
||||
}
|
||||
|
||||
template<typename T> struct smart_copy_helper<T,true> {
|
||||
EIGEN_DEVICE_FUNC static inline void run(const T* start, const T* end, T* target)
|
||||
{
|
||||
IntPtr size = IntPtr(end)-IntPtr(start);
|
||||
if(size==0) return;
|
||||
eigen_internal_assert(start!=0 && end!=0 && target!=0);
|
||||
EIGEN_USING_STD(memcpy)
|
||||
memcpy(target, start, size);
|
||||
}
|
||||
};
|
||||
|
||||
template<typename T> struct smart_copy_helper<T,false> {
|
||||
EIGEN_DEVICE_FUNC static inline void run(const T* start, const T* end, T* target)
|
||||
{ std::copy(start, end, target); }
|
||||
};
|
||||
|
||||
// intelligent memmove. falls back to std::memmove for POD types, uses std::copy otherwise.
|
||||
template<typename T, bool UseMemmove> struct smart_memmove_helper;
|
||||
|
||||
|
||||
Reference in New Issue
Block a user