e5a3d5ba88
The test run fine on my AMD GPU machine, we should verify them on others too and put them into our regular testing. Not testing O1/2/3 is really bad and not testing all architecturs is similarly problematic. Differential Revision: https://reviews.llvm.org/D148576
54 lines
1.1 KiB
C++
54 lines
1.1 KiB
C++
// On AMDGPU we don't have malloc support yet. We need optimizations
|
|
// to avoid a thread state which requires malloc.
|
|
//
|
|
// XUN: %libomptarget-compilexx-run-and-check-generic
|
|
// RUN: %libomptarget-compileoptxx-run-and-check-generic
|
|
|
|
#include <iostream>
|
|
|
|
template <typename LOOP_BODY>
|
|
inline void forall(int Begin, int End, LOOP_BODY LoopBody) {
|
|
#pragma omp target parallel for schedule(static)
|
|
for (int I = Begin; I < End; ++I) {
|
|
LoopBody(I);
|
|
}
|
|
}
|
|
|
|
#define N (1000)
|
|
|
|
//
|
|
// Demonstration of the RAJA abstraction using lambdas
|
|
// Requires data mapping onto the target section
|
|
//
|
|
int main() {
|
|
double A[N], B[N], C[N];
|
|
|
|
for (int I = 0; I < N; I++) {
|
|
A[I] = I + 1;
|
|
B[I] = -I;
|
|
C[I] = -9;
|
|
}
|
|
|
|
#pragma omp target data map(tofrom : C[0 : N]) map(to : A[0 : N], B[0 : N])
|
|
{
|
|
forall(0, N, [&](int I) { C[I] += A[I] + B[I]; });
|
|
}
|
|
|
|
int Fail = 0;
|
|
for (int I = 0; I < N; I++) {
|
|
if (C[I] != -8) {
|
|
std::cout << "Failed at " << I << " with val " << C[I] << std::endl;
|
|
Fail = 1;
|
|
}
|
|
}
|
|
|
|
// CHECK: Succeeded
|
|
if (Fail) {
|
|
std::cout << "Failed" << std::endl;
|
|
} else {
|
|
std::cout << "Succeeded" << std::endl;
|
|
}
|
|
|
|
return 0;
|
|
}
|