#include #include #include #include #include #include #include template void TestInnerProductSimple() { using T = typename Vector::value_type; Vector v1{1, -2, 3}; Vector v2{-4, 5, 6}; T init = 3; T result = thrust::inner_product(v1.begin(), v1.end(), v2.begin(), init); ASSERT_EQUAL(result, 7); } DECLARE_VECTOR_UNITTEST(TestInnerProductSimple); template int inner_product(my_system& system, InputIterator1, InputIterator1, InputIterator2, OutputType) { system.validate_dispatch(); return 13; } void TestInnerProductDispatchExplicit() { thrust::device_vector vec; my_system sys(0); thrust::inner_product(sys, vec.begin(), vec.end(), vec.begin(), 0); ASSERT_EQUAL(true, sys.is_valid()); } DECLARE_UNITTEST(TestInnerProductDispatchExplicit); template int inner_product(my_tag, InputIterator1, InputIterator1, InputIterator2, OutputType) { return 13; } void TestInnerProductDispatchImplicit() { thrust::device_vector vec; int result = thrust::inner_product( thrust::retag(vec.begin()), thrust::retag(vec.end()), thrust::retag(vec.begin()), 0); ASSERT_EQUAL(13, result); } DECLARE_UNITTEST(TestInnerProductDispatchImplicit); template void TestInnerProductWithOperator() { using T = typename Vector::value_type; Vector v1{1, -2, 3}; Vector v2{-1, 3, 6}; // compute (v1 - v2) and perform a multiplies reduction T init = 3; T result = thrust::inner_product( v1.begin(), v1.end(), v2.begin(), init, ::cuda::std::multiplies(), ::cuda::std::minus()); ASSERT_EQUAL(result, 90); } DECLARE_VECTOR_UNITTEST(TestInnerProductWithOperator); template struct TestInnerProduct { void operator()(const size_t n) { thrust::host_vector h_v1 = unittest::random_integers(n); thrust::host_vector h_v2 = unittest::random_integers(n); thrust::device_vector d_v1 = h_v1; thrust::device_vector d_v2 = h_v2; T init = 13; T expected = thrust::inner_product(h_v1.begin(), h_v1.end(), h_v2.begin(), init); T result = thrust::inner_product(d_v1.begin(), d_v1.end(), d_v2.begin(), init); ASSERT_EQUAL(expected, result); } }; VariableUnitTest TestInnerProductInstance; struct only_set_when_both_expected { long long expected; bool* flag; _CCCL_DEVICE long long operator()(long long x, long long y) { if (x == expected && y == expected) { *flag = true; } return x == y; } }; void TestInnerProductWithBigIndexesHelper(int magnitude) { thrust::counting_iterator begin(1); thrust::counting_iterator end = begin + (1ll << magnitude); ASSERT_EQUAL(::cuda::std::distance(begin, end), 1ll << magnitude); thrust::device_ptr has_executed = thrust::device_malloc(1); *has_executed = false; only_set_when_both_expected fn = {(1ll << magnitude) - 1, thrust::raw_pointer_cast(has_executed)}; ASSERT_EQUAL(thrust::inner_product(thrust::device, begin, end, begin, 0ll, ::cuda::std::plus(), fn), (1ll << magnitude)); bool has_executed_h = *has_executed; thrust::device_free(has_executed); ASSERT_EQUAL(has_executed_h, true); } void TestInnerProductWithBigIndexes() { TestInnerProductWithBigIndexesHelper(30); #ifndef THRUST_FORCE_32_BIT_OFFSET_TYPE TestInnerProductWithBigIndexesHelper(31); TestInnerProductWithBigIndexesHelper(32); TestInnerProductWithBigIndexesHelper(33); #endif } DECLARE_UNITTEST(TestInnerProductWithBigIndexes); void TestInnerProductPlaceholders() { // Regression test for NVIDIA/thrust#1178 using namespace thrust::placeholders; thrust::device_vector v1(100, 1.f); thrust::device_vector v2(100, 1.f); auto result = thrust::inner_product(v1.begin(), v1.end(), v2.begin(), 0.0f, ::cuda::std::plus{}, _1 * _2 + 1.0f); ASSERT_ALMOST_EQUAL(result, 200.f); } DECLARE_UNITTEST(TestInnerProductPlaceholders);