blob: 7ade43c4c9f10e0582cfdfe21ed501d91f4ee2ee [file] [log] [blame]
/* PR middle-end/66199 */
/* { dg-do run } */
#pragma omp declare target
int u[1024], v[1024], w[1024];
#pragma omp end declare target
__attribute__((noinline, noclone)) long
f1 (long a, long b)
{
long d;
#pragma omp target map(from: d)
#pragma omp teams distribute parallel for simd default(none) firstprivate (a, b) shared(u, v, w)
for (d = a; d < b; d++)
u[d] = v[d] + w[d];
return d;
}
__attribute__((noinline, noclone)) long
f2 (long a, long b, long c)
{
long d, e;
#pragma omp target map(from: d, e)
#pragma omp teams distribute parallel for simd default(none) firstprivate (a, b, c) shared(u, v, w) linear(d) lastprivate(e)
for (d = a; d < b; d++)
{
u[d] = v[d] + w[d];
e = c + d * 5;
}
return d + e;
}
__attribute__((noinline, noclone)) long
f3 (long a1, long b1, long a2, long b2)
{
long d1, d2;
#pragma omp target map(from: d1, d2)
#pragma omp teams distribute parallel for simd default(none) firstprivate (a1, b1, a2, b2) shared(u, v, w) lastprivate(d1, d2) collapse(2)
for (d1 = a1; d1 < b1; d1++)
for (d2 = a2; d2 < b2; d2++)
u[d1 * 32 + d2] = v[d1 * 32 + d2] + w[d1 * 32 + d2];
return d1 + d2;
}
__attribute__((noinline, noclone)) long
f4 (long a1, long b1, long a2, long b2)
{
long d1, d2;
#pragma omp target map(from: d1, d2)
#pragma omp teams distribute parallel for simd default(none) firstprivate (a1, b1, a2, b2) shared(u, v, w) collapse(2)
for (d1 = a1; d1 < b1; d1++)
for (d2 = a2; d2 < b2; d2++)
u[d1 * 32 + d2] = v[d1 * 32 + d2] + w[d1 * 32 + d2];
return d1 + d2;
}
int
main ()
{
if (f1 (0, 1024) != 1024
|| f2 (0, 1024, 17) != 1024 + (17 + 5 * 1023)
|| f3 (0, 32, 0, 32) != 64
|| f4 (0, 32, 0, 32) != 64)
__builtin_abort ();
return 0;
}