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mirror of https://github.com/paboyle/Grid.git synced 2025-06-13 20:57:06 +01:00

Make NVCC happy with the compile. This is warning free on 9.1 on my laptop (both make and make tests).

This commit is contained in:
paboyle
2018-03-05 00:28:24 +00:00
parent 984e06e2b5
commit 2018077770
25 changed files with 65 additions and 46 deletions

View File

@ -133,7 +133,7 @@ auto eval(const unsigned int ss, const LatticeTrinaryExpression<Op, T1, T2, T3>
// Perhaps a conformable method.
//////////////////////////////////////////////////////////////////////////
template <class T1,typename std::enable_if<is_lattice<T1>::value, T1>::type * = nullptr>
inline void GridFromExpression(GridBase *&grid, const T1 &lat) // Lattice leaf
accelerator_inline void GridFromExpression(GridBase *&grid, const T1 &lat) // Lattice leaf
{
lat.Conformable(grid);
}
@ -209,7 +209,7 @@ inline void CBFromExpression(int &cb, const LatticeTrinaryExpression<Op, T1, T2,
#define GridUnopClass(name, ret) \
template <class arg> \
struct name { \
static auto inline func(const arg a) -> decltype(ret) { return ret; } \
static auto accelerator_inline func(const arg a) -> decltype(ret) { return ret; } \
};
GridUnopClass(UnarySub, -a);
@ -242,7 +242,8 @@ GridUnopClass(UnaryExp, exp(a));
#define GridBinOpClass(name, combination) \
template <class left, class right> \
struct name { \
static auto inline func(const left &lhs, const right &rhs) \
static auto accelerator_inline \
func(const left &lhs, const right &rhs) \
-> decltype(combination) const \
{ \
return combination; \
@ -264,7 +265,8 @@ GridBinOpClass(BinaryOrOr, lhs || rhs);
#define GridTrinOpClass(name, combination) \
template <class predicate, class left, class right> \
struct name { \
static auto inline func(const predicate &pred, const left &lhs, const right &rhs) \
static auto accelerator_inline \
func(const predicate &pred, const left &lhs, const right &rhs) \
-> decltype(combination) const \
{ \
return combination; \

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@ -177,7 +177,8 @@ static void sliceInnerProductMatrix( Eigen::MatrixXcd &mat, const Lattice<vobj>
for(int j=0;j<Nblock;j++){
auto tmp = innerProduct(Left[i],Right[j]);
auto rtmp = TensorRemove(tmp);
mat_thread(i,j) += Reduce(rtmp);
ComplexD z = Reduce(rtmp);
mat_thread(i,j) += std::complex<double>(real(z),imag(z));
}}
}});
thread_critical {