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| 1 | +// RUN: %clang_cc1 -internal-isystem %S/Inputs -fsycl-is-device -ffp-builtin-accuracy=high:sin,sqrt -ffp-builtin-accuracy=medium:cos -ffp-builtin-accuracy=low:tan -ffp-builtin-accuracy=cuda:exp,acos -ffp-builtin-accuracy=sycl:log,asin -emit-llvm -triple spir64-unknown-unknown %s -o - | FileCheck --check-prefix CHECK-FUNC %s |
| 2 | +// RUN: %clang_cc1 -internal-isystem %S/Inputs -fsycl-is-device -ffp-builtin-accuracy=high -emit-llvm -triple spir64-unknown-unknown %s -o - | FileCheck --check-prefix CHECK-TU %s |
| 3 | +// RUN: %clang_cc1 -internal-isystem %S/Inputs -fsycl-is-device -ffp-builtin-accuracy=medium -ffp-builtin-accuracy=high:sin,sqrt -ffp-builtin-accuracy=medium:cos -ffp-builtin-accuracy=cuda:exp -ffp-builtin-accuracy=sycl:log -emit-llvm -triple spir64-unknown-unknown %s -o - | FileCheck --check-prefix CHECK-MIX %s |
| 4 | + |
| 5 | +// Tests that sycl_used_aspects metadata is attached to the fpbuiltin call based on -ffp-accuracy option. |
| 6 | + |
| 7 | +#include "sycl.hpp" |
| 8 | + |
| 9 | +extern "C" SYCL_EXTERNAL double sin(double); |
| 10 | +extern "C" SYCL_EXTERNAL double cos(double); |
| 11 | +extern "C" SYCL_EXTERNAL double tan(double); |
| 12 | +extern "C" SYCL_EXTERNAL double log(double); |
| 13 | +extern "C" SYCL_EXTERNAL double exp(double); |
| 14 | +extern "C" SYCL_EXTERNAL double acos(double); |
| 15 | +extern "C" SYCL_EXTERNAL double asin(double); |
| 16 | +extern "C" SYCL_EXTERNAL double sqrt(double); |
| 17 | + |
| 18 | +using namespace sycl; |
| 19 | + |
| 20 | +int main() { |
| 21 | + const unsigned array_size = 4; |
| 22 | + double Value = .5; |
| 23 | + queue deviceQueue; |
| 24 | + range<1> numOfItems{array_size}; |
| 25 | + |
| 26 | + // Kernel0 doesn't use math functions. |
| 27 | + deviceQueue.submit([&](handler& cgh) { |
| 28 | + cgh.parallel_for<class Kernel0>(numOfItems, |
| 29 | + [=](id<1> wiID) { |
| 30 | + (void)Value; |
| 31 | + }); |
| 32 | + }); |
| 33 | + |
| 34 | + // Kernel1 uses high-accuracy sin. |
| 35 | + deviceQueue.submit([&](handler& cgh) { |
| 36 | + cgh.parallel_for<class Kernel1>(numOfItems, |
| 37 | + [=](id<1> wiID) { |
| 38 | +// CHECK-FUNC: call double @llvm.fpbuiltin.sin.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[HIGH_ACC:[0-9]+]] |
| 39 | +// CHECK-TU: call double @llvm.fpbuiltin.sin.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[HIGH_ACC:[0-9]+]] |
| 40 | +// CHECK-MIX: call double @llvm.fpbuiltin.sin.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[HIGH_ACC:[0-9]+]] |
| 41 | + (void)sin(Value); |
| 42 | + }); |
| 43 | + }); |
| 44 | + |
| 45 | + deviceQueue.submit([&](handler& cgh) { |
| 46 | + cgh.parallel_for<class Kernel2>(numOfItems, |
| 47 | + [=](id<1> wiID) { |
| 48 | +// CHECK-FUNC: call double @llvm.fpbuiltin.cos.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[MEDIUM_ACC:[0-9]+]] |
| 49 | +// CHECK-TU: call double @llvm.fpbuiltin.cos.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[HIGH_ACC]] |
| 50 | +// CHECK-MIX: call double @llvm.fpbuiltin.cos.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[MEDIUM_ACC:[0-9]+]] |
| 51 | + (void)cos(Value); |
| 52 | + }); |
| 53 | + }); |
| 54 | + |
| 55 | + // Kernel3 uses low-accuracy tan. |
| 56 | + deviceQueue.submit([&](handler& cgh) { |
| 57 | + cgh.parallel_for<class Kernel3>(numOfItems, |
| 58 | + [=](id<1> wiID) { |
| 59 | +// CHECK-FUNC: call double @llvm.fpbuiltin.tan.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[LOW_ACC:[0-9]+]] |
| 60 | +// CHECK-TU: call double @llvm.fpbuiltin.tan.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[HIGH_ACC]] |
| 61 | +// CHECK-MIX: call double @llvm.fpbuiltin.tan.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[MEDIUM_ACC]] |
| 62 | + (void)tan(Value); |
| 63 | + }); |
| 64 | + }); |
| 65 | + |
| 66 | + // Kernel4 uses cuda-accuracy exp and sycl-accuracy log. |
| 67 | + deviceQueue.submit([&](handler& cgh) { |
| 68 | + cgh.parallel_for<class Kernel4>(numOfItems, |
| 69 | + [=](id<1> wiID) { |
| 70 | +// CHECK-FUNC: call double @llvm.fpbuiltin.exp.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[CUDA_ACC:[0-9]+]] |
| 71 | +// CHECK-FUNC: call double @llvm.fpbuiltin.log.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[SYCL_ACC:[0-9]+]] |
| 72 | +// CHECK-TU: call double @llvm.fpbuiltin.exp.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[HIGH_ACC]] |
| 73 | +// CHECK-TU: call double @llvm.fpbuiltin.log.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[HIGH_ACC]] |
| 74 | +// CHECK-MIX: call double @llvm.fpbuiltin.exp.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[CUDA_ACC:[0-9]+]] |
| 75 | +// CHECK-MIX: call double @llvm.fpbuiltin.log.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[SYCL_ACC:[0-9]+]] |
| 76 | + (void)log(exp(Value)); |
| 77 | + }); |
| 78 | + }); |
| 79 | + deviceQueue.wait(); |
| 80 | + |
| 81 | + // Kernel5 uses cuda-accuracy acos. |
| 82 | + deviceQueue.submit([&](handler& cgh) { |
| 83 | + cgh.parallel_for<class Kernel5>(numOfItems, |
| 84 | + [=](id<1> wiID) { |
| 85 | +// CHECK-FUNC: call double @llvm.fpbuiltin.acos.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[CUDA_ACC]] |
| 86 | +// CHECK-TU: call double @llvm.fpbuiltin.acos.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[HIGH_ACC]] |
| 87 | +// CHECK-MIX: call double @llvm.fpbuiltin.acos.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[MEDIUM_ACC]] |
| 88 | + (void)acos(Value); |
| 89 | + }); |
| 90 | + }); |
| 91 | + |
| 92 | + // Kernel6 uses sycl-accuracy asin. |
| 93 | + deviceQueue.submit([&](handler& cgh) { |
| 94 | + cgh.parallel_for<class Kernel6>(numOfItems, |
| 95 | + [=](id<1> wiID) { |
| 96 | +// CHECK-FUNC: call double @llvm.fpbuiltin.asin.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[SYCL_ACC]] |
| 97 | +// CHECK-TU: call double @llvm.fpbuiltin.asin.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[HIGH_ACC]] |
| 98 | +// CHECK-MIX: call double @llvm.fpbuiltin.asin.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[MEDIUM_ACC]] |
| 99 | + (void)asin(Value); |
| 100 | + }); |
| 101 | + }); |
| 102 | + |
| 103 | + // Kernel7 uses high-accuracy sqrt. |
| 104 | + deviceQueue.submit([&](handler& cgh) { |
| 105 | + cgh.parallel_for<class Kernel7>(numOfItems, |
| 106 | + [=](id<1> wiID) { |
| 107 | +// CHECK-FUNC: call double @llvm.fpbuiltin.sqrt.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[HIGH_ACC]] |
| 108 | +// CHECK-TU: call double @llvm.fpbuiltin.sqrt.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[HIGH_ACC]] |
| 109 | +// CHECK-MIX: call double @llvm.fpbuiltin.sqrt.f64(double {{.*}}) #[[ATTR:[0-9]+]], !sycl_used_aspects ![[HIGH_ACC]] |
| 110 | + (void)sqrt(Value); |
| 111 | + }); |
| 112 | + }); |
| 113 | + return 0; |
| 114 | +} |
| 115 | + |
| 116 | +// CHECK-FUNC: [[HIGH_ACC]] = !{i32 -1} |
| 117 | +// CHECK-FUNC: [[MEDIUM_ACC]] = !{i32 -2} |
| 118 | +// CHECK-FUNC: [[LOW_ACC]] = !{i32 -3} |
| 119 | +// CHECK-FUNC: [[CUDA_ACC]] = !{i32 -5} |
| 120 | +// CHECK-FUNC: [[SYCL_ACC]] = !{i32 -4} |
| 121 | + |
| 122 | +// CHECK-TU: [[HIGH_ACC]] = !{i32 -1} |
| 123 | + |
| 124 | +// CHECK-MIX: [[HIGH_ACC]] = !{i32 -1} |
| 125 | +// CHECK-MIX: [[MEDIUM_ACC]] = !{i32 -2} |
| 126 | +// CHECK-MIX: [[CUDA_ACC]] = !{i32 -5} |
| 127 | +// CHECK-MIX: [[SYCL_ACC]] = !{i32 -4} |
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