Alexey Bataev 6aa7228a62 [LIBOMPTARGET]Do not try to optimize bases for the next parameters.
PrivateArgumentManager shall immediately allocate firstprivates if they
are bases for the next parameters and the next paramaters rely on the
fact that the base musst be allocated already.

Differential Revision: https://reviews.llvm.org/D86781
2020-08-28 15:46:31 -04:00

54 lines
1.3 KiB
C++

// RUN: %libomptarget-compilexx-run-and-check-aarch64-unknown-linux-gnu
// RUN: %libomptarget-compilexx-run-and-check-powerpc64-ibm-linux-gnu
// RUN: %libomptarget-compilexx-run-and-check-powerpc64le-ibm-linux-gnu
// RUN: %libomptarget-compilexx-run-and-check-x86_64-pc-linux-gnu
// RUN: %libomptarget-compilexx-run-and-check-nvptx64-nvidia-cuda
#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;
}