blob: 311999918de85701adddefd954c47200b2104afc [file] [log] [blame]
// RUN: %libomptarget-compilexx-run-and-check-generic
//
// REQUIRES: gpu
#include <cassert>
#include <cmath>
#include <cstdint>
#include <cstdio>
#include <limits>
#include <ompx.h>
#include <type_traits>
#pragma omp begin declare variant match(device = {arch(amdgcn)})
unsigned get_warp_size() { return __builtin_amdgcn_wavefrontsize(); }
#pragma omp end declare variant
#pragma omp begin declare variant match(device = {arch(nvptx64)})
unsigned get_warp_size() { return __nvvm_read_ptx_sreg_warpsize(); }
#pragma omp end declare variant
#pragma omp begin declare variant match(device = {kind(cpu)})
unsigned get_warp_size() { return 1; }
#pragma omp end declare variant
template <typename T, std::enable_if_t<std::is_integral<T>::value, bool> = true>
bool equal(T LHS, T RHS) {
return LHS == RHS;
}
template <typename T,
std::enable_if_t<std::is_floating_point<T>::value, bool> = true>
bool equal(T LHS, T RHS) {
return __builtin_fabs(LHS - RHS) < std::numeric_limits<T>::epsilon();
}
template <typename T> void test() {
constexpr const int num_blocks = 1;
constexpr const int block_size = 256;
constexpr const int N = num_blocks * block_size;
int *res = new int[N];
#pragma omp target teams ompx_bare num_teams(num_blocks) thread_limit(block_size) \
map(from: res[0:N])
{
int tid = ompx_thread_id_x();
T val = ompx::shfl_down_sync(~0U, static_cast<T>(tid), 1);
int warp_size = get_warp_size();
if ((tid & (warp_size - 1)) != warp_size - 1)
res[tid] = equal(val, static_cast<T>(tid + 1));
else
res[tid] = equal(val, static_cast<T>(tid));
}
for (int i = 0; i < N; ++i)
assert(res[i]);
delete[] res;
}
int main(int argc, char *argv[]) {
test<int32_t>();
test<int64_t>();
test<float>();
test<double>();
// CHECK: PASS
printf("PASS\n");
return 0;
}