8823448807
Many tests in the `offload` project have requirements defined by which targets are not supported rather than which platforms are supported. This patch aims to streamline the requirement definitions by adding four new feature tags: `host`, `gpu`, `amdgpu`, and `nvidiagpu`.
98 lines
2.9 KiB
C
98 lines
2.9 KiB
C
// clang-format off
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// RUN: %libomptarget-compile-generic
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// RUN: env LIBOMPTARGET_INFO=16 \
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// RUN: %libomptarget-run-generic 2>&1 | %fcheck-generic --check-prefix=DEFAULT
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// REQUIRES: amdgpu
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__attribute__((optnone)) int optnone() { return 1; }
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int main() {
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int N = optnone() * 4098 * 32;
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// DEFAULT: [[NT:(128|256)]] (MaxFlatWorkGroupSize: [[NT]]
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#pragma omp target teams distribute parallel for simd
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for (int i = 0; i < N; ++i) {
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optnone();
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}
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// DEFAULT: [[NT:(128|256)]] (MaxFlatWorkGroupSize: [[NT]]
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#pragma omp target teams distribute parallel for simd
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for (int i = 0; i < N; ++i) {
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optnone();
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}
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// DEFAULT: [[NT:(128|256)]] (MaxFlatWorkGroupSize: [[NT]]
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#pragma omp target teams distribute parallel for simd
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for (int i = 0; i < N; ++i) {
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optnone();
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}
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// DEFAULT: [[NT:(128|256)]] (MaxFlatWorkGroupSize: [[NT]]
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#pragma omp target
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#pragma omp teams distribute parallel for
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for (int i = 0; i < N; ++i) {
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optnone();
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}
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// DEFAULT: 42 (MaxFlatWorkGroupSize: 1024
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#pragma omp target thread_limit(optnone() * 42)
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#pragma omp teams distribute parallel for
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for (int i = 0; i < N; ++i) {
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optnone();
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}
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// DEFAULT: 42 (MaxFlatWorkGroupSize: 42
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#pragma omp target thread_limit(optnone() * 42) ompx_attribute(__attribute__((amdgpu_flat_work_group_size(42, 42))))
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#pragma omp teams distribute parallel for
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for (int i = 0; i < N; ++i) {
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optnone();
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}
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// DEFAULT: 42 (MaxFlatWorkGroupSize: 42
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#pragma omp target ompx_attribute(__attribute__((amdgpu_flat_work_group_size(42, 42))))
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#pragma omp teams distribute parallel for
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for (int i = 0; i < N; ++i) {
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optnone();
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}
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// DEFAULT: MaxFlatWorkGroupSize: 1024
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#pragma omp target
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#pragma omp teams distribute parallel for num_threads(optnone() * 42)
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for (int i = 0; i < N; ++i) {
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optnone();
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}
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// DEFAULT: MaxFlatWorkGroupSize: 1024
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#pragma omp target teams distribute parallel for thread_limit(optnone() * 42)
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for (int i = 0; i < N; ++i) {
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optnone();
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}
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// DEFAULT: MaxFlatWorkGroupSize: 1024
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#pragma omp target teams distribute parallel for num_threads(optnone() * 42)
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for (int i = 0; i < N; ++i) {
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optnone();
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}
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// DEFAULT: 9 (MaxFlatWorkGroupSize: 9
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#pragma omp target
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#pragma omp teams distribute parallel for num_threads(9)
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for (int i = 0; i < N; ++i) {
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optnone();
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}
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// DEFAULT: 4 (MaxFlatWorkGroupSize: 4
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#pragma omp target thread_limit(4)
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#pragma omp teams distribute parallel for
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for (int i = 0; i < N; ++i) {
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optnone();
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}
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// DEFAULT: 4 (MaxFlatWorkGroupSize: 4
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#pragma omp target
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#pragma omp teams distribute parallel for thread_limit(4)
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for (int i = 0; i < N; ++i) {
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optnone();
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}
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// DEFAULT: 9 (MaxFlatWorkGroupSize: 9
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#pragma omp target teams distribute parallel for num_threads(9)
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for (int i = 0; i < N; ++i) {
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optnone();
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}
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// DEFAULT: 4 (MaxFlatWorkGroupSize: 4
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#pragma omp target teams distribute parallel for simd thread_limit(4)
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for (int i = 0; i < N; ++i) {
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optnone();
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}
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}
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