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| 1 | +// REQUIRES: aspect-usm_shared_allocations |
| 2 | +// RUN: %{build} -o %t.out |
| 3 | +// RUN: %{run} %t.out |
| 4 | + |
| 5 | +// This test verifies whether a marray<T, NumElements> can be passed as a kernel |
| 6 | +// parameter to a free function kernel. |
| 7 | + |
| 8 | +#include <sycl/usm.hpp> |
| 9 | + |
| 10 | +#include <sycl/ext/oneapi/free_function_queries.hpp> |
| 11 | + |
| 12 | +#include "helpers.hpp" |
| 13 | + |
| 14 | +static constexpr size_t M_ARRAY_SIZE = 5; |
| 15 | + |
| 16 | +static float sumMArray(sycl::marray<float, M_ARRAY_SIZE> MArray) { |
| 17 | + float SumOfMArray = 0.0; |
| 18 | + for (const auto Value : MArray) { |
| 19 | + SumOfMArray += Value; |
| 20 | + } |
| 21 | + return SumOfMArray; |
| 22 | +} |
| 23 | + |
| 24 | +SYCL_EXT_ONEAPI_FUNCTION_PROPERTY((syclexp::single_task_kernel)) |
| 25 | +void globalScopeSingleFreeFuncKernel(float *Ptr, size_t NumOfElements, |
| 26 | + sycl::marray<float, M_ARRAY_SIZE> MArray) { |
| 27 | + for (size_t i = 0; i < NumOfElements; ++i) { |
| 28 | + Ptr[i] = sumMArray(MArray); |
| 29 | + } |
| 30 | +} |
| 31 | + |
| 32 | +SYCL_EXT_ONEAPI_FUNCTION_PROPERTY((syclexp::nd_range_kernel<2>)) |
| 33 | +void globalScopeNdRangeFreeFuncKernel( |
| 34 | + float *Ptr, sycl::marray<float, M_ARRAY_SIZE> MArray) { |
| 35 | + size_t Item = |
| 36 | + syclext::this_work_item::get_nd_item<2>().get_global_linear_id(); |
| 37 | + Ptr[Item] = sumMArray(MArray); |
| 38 | +} |
| 39 | + |
| 40 | +namespace ns { |
| 41 | +SYCL_EXT_ONEAPI_FUNCTION_PROPERTY((syclexp::single_task_kernel)) |
| 42 | +void nsSingleFreeFuncKernel(float *Ptr, size_t NumOfElements, |
| 43 | + sycl::marray<float, M_ARRAY_SIZE> MArray) { |
| 44 | + for (size_t i = 0; i < NumOfElements; ++i) { |
| 45 | + Ptr[i] = sumMArray(MArray); |
| 46 | + } |
| 47 | +} |
| 48 | + |
| 49 | +SYCL_EXT_ONEAPI_FUNCTION_PROPERTY((syclexp::nd_range_kernel<3>)) |
| 50 | +void nsNdRangeFreeFuncKernel(float *Ptr, |
| 51 | + sycl::marray<float, M_ARRAY_SIZE> MArray) { |
| 52 | + size_t Item = |
| 53 | + syclext::this_work_item::get_nd_item<3>().get_global_linear_id(); |
| 54 | + Ptr[Item] = sumMArray(MArray); |
| 55 | +} |
| 56 | +} // namespace ns |
| 57 | + |
| 58 | +// TODO: Need to add checks for a static member functions of a class as free |
| 59 | +// function kerenl |
| 60 | + |
| 61 | +int main() { |
| 62 | + int Failed = 0; |
| 63 | + sycl::queue Queue; |
| 64 | + sycl::context Context = Queue.get_context(); |
| 65 | + constexpr size_t NumOfElements = 1024; |
| 66 | + float *Data = sycl::malloc_shared<float>(NumOfElements, Queue); |
| 67 | + |
| 68 | + { |
| 69 | + std::fill(Data, Data + NumOfElements, 0); |
| 70 | + sycl::kernel UsedKernel = getKernel<ns::nsSingleFreeFuncKernel>(Context); |
| 71 | + |
| 72 | + sycl::marray<float, M_ARRAY_SIZE> MArray{1.0, 2.0, 3.0, 4.0, 5.0}; |
| 73 | + float ExpectedResultValue = sumMArray(MArray); |
| 74 | + Queue |
| 75 | + .submit([&](sycl::handler &Handler) { |
| 76 | + Handler.set_args(Data, NumOfElements, MArray); |
| 77 | + Handler.single_task(UsedKernel); |
| 78 | + }) |
| 79 | + .wait(); |
| 80 | + |
| 81 | + Failed += performResultCheck( |
| 82 | + NumOfElements, Data, "ns::nsSingleFreeFuncKernel", ExpectedResultValue); |
| 83 | + } |
| 84 | + |
| 85 | + { |
| 86 | + std::fill(Data, Data + NumOfElements, 0); |
| 87 | + sycl::kernel UsedKernel = getKernel<ns::nsNdRangeFreeFuncKernel>(Context); |
| 88 | + |
| 89 | + sycl::marray<float, M_ARRAY_SIZE> MArray{100.0, 100.0, 100.0, 100.0, 100.0}; |
| 90 | + float ExpectedResultValue = sumMArray(MArray); |
| 91 | + Queue |
| 92 | + .submit([&](sycl::handler &Handler) { |
| 93 | + Handler.set_arg(0, Data); |
| 94 | + Handler.set_arg(1, MArray); |
| 95 | + sycl::nd_range<3> Ndr{{4, 4, NumOfElements / 16}, {4, 4, 4}}; |
| 96 | + Handler.parallel_for(Ndr, UsedKernel); |
| 97 | + }) |
| 98 | + .wait(); |
| 99 | + |
| 100 | + Failed += |
| 101 | + performResultCheck(NumOfElements, Data, "ns::nsNdRangeFreeFuncKernel", |
| 102 | + ExpectedResultValue); |
| 103 | + } |
| 104 | + |
| 105 | + { |
| 106 | + std::fill(Data, Data + NumOfElements, 0); |
| 107 | + sycl::kernel UsedKernel = |
| 108 | + getKernel<globalScopeSingleFreeFuncKernel>(Context); |
| 109 | + sycl::marray<float, M_ARRAY_SIZE> MArray{500.0, 500.0, 500.0, 500.0, 500.0}; |
| 110 | + float ExpectedResultValue = sumMArray(MArray); |
| 111 | + Queue |
| 112 | + .submit([&](sycl::handler &Handler) { |
| 113 | + Handler.set_arg(0, Data); |
| 114 | + Handler.set_arg(1, NumOfElements); |
| 115 | + Handler.set_arg(2, MArray); |
| 116 | + Handler.single_task(UsedKernel); |
| 117 | + }) |
| 118 | + .wait(); |
| 119 | + |
| 120 | + Failed += performResultCheck(NumOfElements, Data, |
| 121 | + "globalScopeSingleFreeFuncKernel", |
| 122 | + ExpectedResultValue); |
| 123 | + } |
| 124 | + |
| 125 | + { |
| 126 | + std::fill(Data, Data + NumOfElements, 0); |
| 127 | + sycl::kernel UsedKernel = |
| 128 | + getKernel<globalScopeNdRangeFreeFuncKernel>(Context); |
| 129 | + sycl::marray<float, M_ARRAY_SIZE> MArray{1000.0, 1000.0, 1000.0, 1000.0, |
| 130 | + 1000.0}; |
| 131 | + float ExpectedResultValue = sumMArray(MArray); |
| 132 | + Queue |
| 133 | + .submit([&](sycl::handler &Handler) { |
| 134 | + Handler.set_args(Data, MArray); |
| 135 | + sycl::nd_range<2> Ndr{{8, NumOfElements / 8}, {8, 8}}; |
| 136 | + Handler.parallel_for(Ndr, UsedKernel); |
| 137 | + }) |
| 138 | + .wait(); |
| 139 | + |
| 140 | + Failed += performResultCheck(NumOfElements, Data, |
| 141 | + "globalScopeNdRangeFreeFuncKernel", |
| 142 | + ExpectedResultValue); |
| 143 | + } |
| 144 | + |
| 145 | + sycl::free(Data, Queue); |
| 146 | + return Failed; |
| 147 | +} |
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