26b777444b
We finally got our buildbot added (to staging, at least) so we want to start running L0 tests in CI. We need `check-offload` to pass though, so XFAIL everything failing. There's a couple `UNSUPPORTED` as well, those are for sporadic fails. Also make set the `gpu` and `intelgpu` LIT variables when testing the `spirv64-intel` triple. We have no DeviceRTL yet so basically everything fails, but we manage to get ``` Total Discovered Tests: 432 Unsupported : 169 (39.12%) Passed : 67 (15.51%) Expectedly Failed: 196 (45.37%) ``` We still don't build the level zero plugin by default and these tests don't run unless the plugin was built, so this has no effect on most builds. --------- Signed-off-by: Nick Sarnie <nick.sarnie@intel.com>
86 lines
2.2 KiB
C++
86 lines
2.2 KiB
C++
// clang-format off
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// RUN: %libomptarget-compilexx-generic -O3 && %libomptarget-run-generic
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// RUN: %libomptarget-compilexx-generic -O3 -ffast-math && %libomptarget-run-generic
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// RUN: %libomptarget-compileoptxx-generic -O3 && %libomptarget-run-generic
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// RUN: %libomptarget-compileoptxx-generic -O3 -ffast-math && %libomptarget-run-generic
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// XFAIL: intelgpu
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// clang-format on
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#include <iostream>
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template <typename T> int test_map() {
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std::cout << "map(T)" << std::endl;
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T a(0.2), a_check;
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#pragma omp target map(from : a_check)
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{ a_check = a; }
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if (a_check != a) {
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std::cout << " wrong results";
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return 1;
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}
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return 0;
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}
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template <typename T> int test_reduction() {
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std::cout << "flat parallelism" << std::endl;
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T sum(0), sum_host(0);
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const int size = 100;
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T array[size];
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for (int i = 0; i < size; i++) {
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array[i] = i;
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sum_host += array[i];
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}
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#pragma omp target teams distribute parallel for map(to : array[ : size]) \
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reduction(+ : sum)
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for (int i = 0; i < size; i++)
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sum += array[i];
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if (sum != sum_host)
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std::cout << " wrong results " << sum << " host " << sum_host << std::endl;
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std::cout << "hierarchical parallelism" << std::endl;
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const int nblock(10), block_size(10);
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T block_sum[nblock];
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#pragma omp target teams distribute map(to : array[ : size]) \
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map(from : block_sum[ : nblock])
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for (int ib = 0; ib < nblock; ib++) {
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T partial_sum = 0;
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const int istart = ib * block_size;
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const int iend = (ib + 1) * block_size;
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#pragma omp parallel for reduction(+ : partial_sum)
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for (int i = istart; i < iend; i++)
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partial_sum += array[i];
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block_sum[ib] = partial_sum;
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}
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sum = 0;
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for (int ib = 0; ib < nblock; ib++) {
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sum += block_sum[ib];
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}
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if (sum != sum_host) {
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std::cout << " wrong results " << sum << " host " << sum_host << std::endl;
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return 1;
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}
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return 0;
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}
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template <typename T> int test_POD() {
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int ret = 0;
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ret |= test_map<T>();
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ret |= test_reduction<T>();
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return ret;
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}
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int main() {
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int ret = 0;
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std::cout << "Testing float" << std::endl;
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ret |= test_POD<float>();
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std::cout << "Testing double" << std::endl;
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ret |= test_POD<double>();
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return ret;
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}
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