CCCL (CUDA C++ Core Libraries) provides: - CUB: device/block/warp-level GPU primitives (reduce, scan, sort, topk) - Thrust: high-level parallel algorithms (transform_reduce, sort, scan) - libcudacxx: CUDA C++ standard library (atomics, barriers, memory) - cudax: experimental features (memory resources, allocators) - Tuning policies: per-SM hardware-specific algorithm parameters Competition optimization vectors mapped to CCCL: - Output TPS (83% weight): warp_reduce, block_reduce, device_topk - Input TPS (14% weight): device_scan, block_load, prefetch - Cache TPS (3% weight): prefix caching strategy patterns - Memory (0.9 util): pooled/cached/buddy allocators Source: https://github.com/NVIDIA/cccl (shallow clone, HEAD only) License: Apache-2.0
1278 lines
45 KiB
Plaintext
1278 lines
45 KiB
Plaintext
#include <thrust/count.h>
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#include <thrust/iterator/discard_iterator.h>
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#include <thrust/iterator/retag.h>
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#include <thrust/iterator/zip_iterator.h>
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#include <thrust/partition.h>
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#include <thrust/sort.h>
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#include <unittest/unittest.h>
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#if _CCCL_COMPILER(GCC, >=, 11) && _CCCL_COMPILER(GCC, <, 12)
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# define WAIVE_GCC11_FAILURES
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#endif
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template <typename T>
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struct is_even
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{
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_CCCL_HOST_DEVICE bool operator()(T x) const
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{
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return ((int) x % 2) == 0;
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}
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};
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using PartitionTypes = unittest::type_list<unittest::int8_t, unittest::int16_t, unittest::int32_t>;
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template <typename Vector>
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void TestPartitionSimple()
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{
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using T = typename Vector::value_type;
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using Iterator = typename Vector::iterator;
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// GCC 11 miscompiles and segfaults for certain versions of this test.
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// It's not reproducible on other compilers, and the test passes when
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// optimizations are disabled. It only affects 32-bit value types, and
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// impacts all CPU host/device combinations tested.
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#ifdef WAIVE_GCC11_FAILURES
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if (sizeof(T) == 4)
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{
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return;
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}
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#endif
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Vector data{1, 2, 1, 1, 2};
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Iterator iter = thrust::partition(data.begin(), data.end(), is_even<T>());
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Vector ref{2, 2, 1, 1, 1};
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ASSERT_EQUAL(iter - data.begin(), 2);
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ASSERT_EQUAL(data, ref);
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}
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DECLARE_INTEGRAL_VECTOR_UNITTEST(TestPartitionSimple);
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template <typename Vector>
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void TestPartitionStencilSimple()
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{
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using T = typename Vector::value_type;
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using Iterator = typename Vector::iterator;
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Vector data{0, 1, 0, 0, 1};
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Vector stencil{1, 2, 1, 1, 2};
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Iterator iter = thrust::partition(data.begin(), data.end(), stencil.begin(), is_even<T>());
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Vector ref{1, 1, 0, 0, 0};
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ASSERT_EQUAL(iter - data.begin(), 2);
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ASSERT_EQUAL(data, ref);
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}
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DECLARE_INTEGRAL_VECTOR_UNITTEST(TestPartitionStencilSimple);
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template <typename Vector>
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void TestPartitionCopySimple()
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{
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using T = typename Vector::value_type;
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Vector data{1, 2, 1, 1, 2};
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Vector true_results(2);
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Vector false_results(3);
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cuda::std::pair<typename Vector::iterator, typename Vector::iterator> ends =
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thrust::partition_copy(data.begin(), data.end(), true_results.begin(), false_results.begin(), is_even<T>());
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Vector true_ref(2, 2);
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Vector false_ref(3, 1);
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ASSERT_EQUAL(2, ends.first - true_results.begin());
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ASSERT_EQUAL(3, ends.second - false_results.begin());
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ASSERT_EQUAL(true_ref, true_results);
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ASSERT_EQUAL(false_ref, false_results);
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}
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DECLARE_INTEGRAL_VECTOR_UNITTEST(TestPartitionCopySimple);
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template <typename Vector>
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void TestPartitionCopyStencilSimple()
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{
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using T = typename Vector::value_type;
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Vector data{0, 1, 0, 0, 1};
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Vector stencil{1, 2, 1, 1, 2};
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Vector true_results(2);
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Vector false_results(3);
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cuda::std::pair<typename Vector::iterator, typename Vector::iterator> ends = thrust::partition_copy(
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data.begin(), data.end(), stencil.begin(), true_results.begin(), false_results.begin(), is_even<T>());
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Vector true_ref(2, 1);
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Vector false_ref(3, 0);
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ASSERT_EQUAL(2, ends.first - true_results.begin());
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ASSERT_EQUAL(3, ends.second - false_results.begin());
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ASSERT_EQUAL(true_ref, true_results);
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ASSERT_EQUAL(false_ref, false_results);
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}
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DECLARE_INTEGRAL_VECTOR_UNITTEST(TestPartitionCopyStencilSimple);
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template <typename Vector>
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void TestStablePartitionSimple()
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{
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using T = typename Vector::value_type;
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using Iterator = typename Vector::iterator;
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Vector data{1, 2, 1, 3, 2};
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Iterator iter = thrust::stable_partition(data.begin(), data.end(), is_even<T>());
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Vector ref{2, 2, 1, 1, 3};
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ASSERT_EQUAL(iter - data.begin(), 2);
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ASSERT_EQUAL(data, ref);
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}
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DECLARE_INTEGRAL_VECTOR_UNITTEST(TestStablePartitionSimple);
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template <typename Vector>
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void TestStablePartitionStencilSimple()
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{
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using Iterator = typename Vector::iterator;
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Vector data{1, 2, 1, 3, 2};
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Vector stencil{0, 1, 0, 0, 1};
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Iterator iter = thrust::stable_partition(data.begin(), data.end(), stencil.begin(), ::cuda::std::identity{});
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Vector ref{2, 2, 1, 1, 3};
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ASSERT_EQUAL(iter - data.begin(), 2);
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ASSERT_EQUAL(data, ref);
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}
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DECLARE_VECTOR_UNITTEST(TestStablePartitionStencilSimple);
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template <typename Vector>
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void TestStablePartitionCopySimple()
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{
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using T = typename Vector::value_type;
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Vector data{1, 2, 1, 1, 2};
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Vector true_results(2);
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Vector false_results(3);
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cuda::std::pair<typename Vector::iterator, typename Vector::iterator> ends =
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thrust::stable_partition_copy(data.begin(), data.end(), true_results.begin(), false_results.begin(), is_even<T>());
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Vector true_ref(2, 2);
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Vector false_ref(3, 1);
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ASSERT_EQUAL(2, ends.first - true_results.begin());
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ASSERT_EQUAL(3, ends.second - false_results.begin());
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ASSERT_EQUAL(true_ref, true_results);
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ASSERT_EQUAL(false_ref, false_results);
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}
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DECLARE_INTEGRAL_VECTOR_UNITTEST(TestStablePartitionCopySimple);
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template <typename Vector>
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void TestStablePartitionCopyStencilSimple()
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{
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Vector data{1, 2, 1, 1, 2};
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Vector stencil{false, true, false, false, true};
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Vector true_results(2);
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Vector false_results(3);
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cuda::std::pair<typename Vector::iterator, typename Vector::iterator> ends = thrust::stable_partition_copy(
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data.begin(), data.end(), stencil.begin(), true_results.begin(), false_results.begin(), ::cuda::std::identity{});
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Vector true_ref(2, 2);
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Vector false_ref(3, 1);
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ASSERT_EQUAL(2, ends.first - true_results.begin());
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ASSERT_EQUAL(3, ends.second - false_results.begin());
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ASSERT_EQUAL(true_ref, true_results);
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ASSERT_EQUAL(false_ref, false_results);
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}
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DECLARE_VECTOR_UNITTEST(TestStablePartitionCopyStencilSimple);
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template <typename T>
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struct TestPartition
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{
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void operator()(const size_t n)
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{
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// setup ranges
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thrust::host_vector<T> h_data = unittest::random_integers<T>(n);
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thrust::device_vector<T> d_data = h_data;
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typename thrust::host_vector<T>::iterator h_iter = thrust::partition(h_data.begin(), h_data.end(), is_even<T>());
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typename thrust::device_vector<T>::iterator d_iter = thrust::partition(d_data.begin(), d_data.end(), is_even<T>());
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thrust::sort(h_data.begin(), h_iter);
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thrust::sort(h_iter, h_data.end());
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thrust::sort(d_data.begin(), d_iter);
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thrust::sort(d_iter, d_data.end());
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ASSERT_EQUAL(h_data, d_data);
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ASSERT_EQUAL(h_iter - h_data.begin(), d_iter - d_data.begin());
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}
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};
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VariableUnitTest<TestPartition, PartitionTypes> TestPartitionInstance;
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template <typename T>
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struct TestPartitionStencil
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{
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void operator()(const size_t n)
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{
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// GCC 11 miscompiles and segfaults for certain versions of this test.
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// It's not reproducible on other compilers, and the test passes when
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// optimizations are disabled. It only affects 32-bit value types, and
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// impacts all CPU host/device combinations tested.
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#ifdef WAIVE_GCC11_FAILURES
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if (n == 0 && sizeof(T) == 4)
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{
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return;
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}
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#endif
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// setup ranges
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thrust::host_vector<T> h_data = unittest::random_integers<T>(n);
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thrust::host_vector<T> h_stencil = unittest::random_integers<T>(n);
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thrust::device_vector<T> d_data = h_data;
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thrust::device_vector<T> d_stencil = h_stencil;
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typename thrust::host_vector<T>::iterator h_iter =
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thrust::partition(h_data.begin(), h_data.end(), h_stencil.begin(), is_even<T>());
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typename thrust::device_vector<T>::iterator d_iter =
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thrust::partition(d_data.begin(), d_data.end(), d_stencil.begin(), is_even<T>());
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thrust::sort(h_data.begin(), h_iter);
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thrust::sort(h_iter, h_data.end());
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thrust::sort(d_data.begin(), d_iter);
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thrust::sort(d_iter, d_data.end());
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ASSERT_EQUAL(h_data, d_data);
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ASSERT_EQUAL(h_iter - h_data.begin(), d_iter - d_data.begin());
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}
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};
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VariableUnitTest<TestPartitionStencil, PartitionTypes> TestPartitionStencilInstance;
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template <typename T>
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struct TestPartitionCopy
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{
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void operator()(const size_t n)
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{
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// setup input ranges
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thrust::host_vector<T> h_data = unittest::random_integers<T>(n);
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thrust::device_vector<T> d_data = h_data;
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std::ptrdiff_t n_true = thrust::count_if(h_data.begin(), h_data.end(), is_even<T>());
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std::ptrdiff_t n_false = static_cast<std::ptrdiff_t>(n - n_true);
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// setup output ranges
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thrust::host_vector<T> h_true_results(n_true, 0);
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thrust::host_vector<T> h_false_results(n_false, 0);
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thrust::device_vector<T> d_true_results(n_true, 0);
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thrust::device_vector<T> d_false_results(n_false, 0);
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cuda::std::pair<typename thrust::host_vector<T>::iterator, typename thrust::host_vector<T>::iterator> h_ends =
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thrust::partition_copy(
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h_data.begin(), h_data.end(), h_true_results.begin(), h_false_results.begin(), is_even<T>());
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cuda::std::pair<typename thrust::device_vector<T>::iterator, typename thrust::device_vector<T>::iterator> d_ends =
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thrust::partition_copy(
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d_data.begin(), d_data.end(), d_true_results.begin(), d_false_results.begin(), is_even<T>());
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// check true output
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ASSERT_EQUAL(h_ends.first - h_true_results.begin(), n_true);
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ASSERT_EQUAL(d_ends.first - d_true_results.begin(), n_true);
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thrust::sort(h_true_results.begin(), h_true_results.end());
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thrust::sort(d_true_results.begin(), d_true_results.end());
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ASSERT_EQUAL(h_true_results, d_true_results);
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// check false output
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ASSERT_EQUAL(h_ends.second - h_false_results.begin(), n_false);
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ASSERT_EQUAL(d_ends.second - d_false_results.begin(), n_false);
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thrust::sort(h_false_results.begin(), h_false_results.end());
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thrust::sort(d_false_results.begin(), d_false_results.end());
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ASSERT_EQUAL(h_false_results, d_false_results);
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}
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};
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VariableUnitTest<TestPartitionCopy, PartitionTypes> TestPartitionCopyInstance;
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template <typename T>
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struct TestPartitionCopyStencil
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{
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void operator()(const size_t n)
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{
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// setup input ranges
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thrust::host_vector<T> h_data = unittest::random_integers<T>(n);
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thrust::host_vector<T> h_stencil = unittest::random_integers<T>(n);
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thrust::device_vector<T> d_data = h_data;
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thrust::device_vector<T> d_stencil = h_stencil;
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std::ptrdiff_t n_true = thrust::count_if(h_data.begin(), h_data.end(), is_even<T>());
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std::ptrdiff_t n_false = static_cast<std::ptrdiff_t>(n - n_true);
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// setup output ranges
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thrust::host_vector<T> h_true_results(n_true, 0);
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thrust::host_vector<T> h_false_results(n_false, 0);
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thrust::device_vector<T> d_true_results(n_true, 0);
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thrust::device_vector<T> d_false_results(n_false, 0);
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cuda::std::pair<typename thrust::host_vector<T>::iterator, typename thrust::host_vector<T>::iterator> h_ends =
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thrust::partition_copy(
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h_data.begin(), h_data.end(), h_stencil.begin(), h_true_results.begin(), h_false_results.begin(), is_even<T>());
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cuda::std::pair<typename thrust::device_vector<T>::iterator, typename thrust::device_vector<T>::iterator> d_ends =
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thrust::partition_copy(
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d_data.begin(), d_data.end(), d_stencil.begin(), d_true_results.begin(), d_false_results.begin(), is_even<T>());
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// check true output
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ASSERT_EQUAL(h_ends.first - h_true_results.begin(), n_true);
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ASSERT_EQUAL(d_ends.first - d_true_results.begin(), n_true);
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thrust::sort(h_true_results.begin(), h_true_results.end());
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thrust::sort(d_true_results.begin(), d_true_results.end());
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ASSERT_EQUAL(h_true_results, d_true_results);
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// check false output
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ASSERT_EQUAL(h_ends.second - h_false_results.begin(), n_false);
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ASSERT_EQUAL(d_ends.second - d_false_results.begin(), n_false);
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thrust::sort(h_false_results.begin(), h_false_results.end());
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thrust::sort(d_false_results.begin(), d_false_results.end());
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ASSERT_EQUAL(h_false_results, d_false_results);
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}
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};
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VariableUnitTest<TestPartitionCopyStencil, PartitionTypes> TestPartitionCopyStencilInstance;
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template <typename T>
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struct TestStablePartitionCopyStencil
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{
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void operator()(const size_t n)
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{
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// setup input ranges
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thrust::host_vector<T> h_data = unittest::random_integers<T>(n);
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thrust::host_vector<T> h_stencil = unittest::random_integers<T>(n);
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thrust::device_vector<T> d_data = h_data;
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thrust::device_vector<T> d_stencil = h_stencil;
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std::ptrdiff_t n_true = thrust::count_if(h_stencil.begin(), h_stencil.end(), is_even<T>());
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std::ptrdiff_t n_false = static_cast<std::ptrdiff_t>(n - n_true);
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// setup output ranges
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thrust::host_vector<T> h_true_results(n_true, 0);
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thrust::host_vector<T> h_false_results(n_false, 0);
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thrust::device_vector<T> d_true_results(n_true, 0);
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thrust::device_vector<T> d_false_results(n_false, 0);
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cuda::std::pair<typename thrust::host_vector<T>::iterator, typename thrust::host_vector<T>::iterator> h_ends =
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thrust::stable_partition_copy(
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h_data.begin(), h_data.end(), h_stencil.begin(), h_true_results.begin(), h_false_results.begin(), is_even<T>());
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cuda::std::pair<typename thrust::device_vector<T>::iterator, typename thrust::device_vector<T>::iterator> d_ends =
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thrust::stable_partition_copy(
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d_data.begin(), d_data.end(), d_stencil.begin(), d_true_results.begin(), d_false_results.begin(), is_even<T>());
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// check true output
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ASSERT_EQUAL(h_ends.first - h_true_results.begin(), n_true);
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ASSERT_EQUAL(d_ends.first - d_true_results.begin(), n_true);
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thrust::sort(h_true_results.begin(), h_true_results.end());
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thrust::sort(d_true_results.begin(), d_true_results.end());
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ASSERT_EQUAL(h_true_results, d_true_results);
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// check false output
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ASSERT_EQUAL(h_ends.second - h_false_results.begin(), n_false);
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ASSERT_EQUAL(d_ends.second - d_false_results.begin(), n_false);
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thrust::sort(h_false_results.begin(), h_false_results.end());
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thrust::sort(d_false_results.begin(), d_false_results.end());
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ASSERT_EQUAL(h_false_results, d_false_results);
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}
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};
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VariableUnitTest<TestStablePartitionCopyStencil, PartitionTypes> TestStablePartitionCopyStencilInstance;
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template <typename T>
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struct TestPartitionCopyToDiscardIterator
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{
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void operator()(const size_t n)
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{
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// setup input ranges
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thrust::host_vector<T> h_data = unittest::random_integers<T>(n);
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thrust::device_vector<T> d_data = h_data;
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std::ptrdiff_t n_true = thrust::count_if(h_data.begin(), h_data.end(), is_even<T>());
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std::ptrdiff_t n_false = static_cast<std::ptrdiff_t>(n - n_true);
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// mask both ranges
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cuda::std::pair<thrust::discard_iterator<>, thrust::discard_iterator<>> h_result1 = thrust::partition_copy(
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h_data.begin(), h_data.end(), thrust::make_discard_iterator(), thrust::make_discard_iterator(), is_even<T>());
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cuda::std::pair<thrust::discard_iterator<>, thrust::discard_iterator<>> d_result1 = thrust::partition_copy(
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d_data.begin(), d_data.end(), thrust::make_discard_iterator(), thrust::make_discard_iterator(), is_even<T>());
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cuda::std::pair<thrust::discard_iterator<>, thrust::discard_iterator<>> reference1 =
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cuda::std::make_pair(thrust::make_discard_iterator(n_true), thrust::make_discard_iterator(n_false));
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ASSERT_EQUAL_QUIET(reference1, h_result1);
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ASSERT_EQUAL_QUIET(reference1, d_result1);
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// mask the false range
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thrust::host_vector<T> h_trues(n_true);
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thrust::device_vector<T> d_trues(n_true);
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cuda::std::pair<typename thrust::host_vector<T>::iterator, thrust::discard_iterator<>> h_result2 =
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thrust::partition_copy(
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h_data.begin(), h_data.end(), h_trues.begin(), thrust::make_discard_iterator(), is_even<T>());
|
|
|
|
cuda::std::pair<typename thrust::device_vector<T>::iterator, thrust::discard_iterator<>> d_result2 =
|
|
thrust::partition_copy(
|
|
d_data.begin(), d_data.end(), d_trues.begin(), thrust::make_discard_iterator(), is_even<T>());
|
|
|
|
cuda::std::pair<typename thrust::host_vector<T>::iterator, thrust::discard_iterator<>> h_reference2 =
|
|
cuda::std::make_pair(h_trues.begin() + n_true, thrust::make_discard_iterator(n_false));
|
|
|
|
cuda::std::pair<typename thrust::device_vector<T>::iterator, thrust::discard_iterator<>> d_reference2 =
|
|
cuda::std::make_pair(d_trues.begin() + n_true, thrust::make_discard_iterator(n_false));
|
|
|
|
ASSERT_EQUAL(h_trues, d_trues);
|
|
ASSERT_EQUAL_QUIET(h_reference2, h_result2);
|
|
ASSERT_EQUAL_QUIET(d_reference2, d_result2);
|
|
|
|
// mask the true range
|
|
thrust::host_vector<T> h_falses(n_false);
|
|
thrust::device_vector<T> d_falses(n_false);
|
|
|
|
cuda::std::pair<thrust::discard_iterator<>, typename thrust::host_vector<T>::iterator> h_result3 =
|
|
thrust::partition_copy(
|
|
h_data.begin(), h_data.end(), thrust::make_discard_iterator(), h_falses.begin(), is_even<T>());
|
|
|
|
cuda::std::pair<thrust::discard_iterator<>, typename thrust::device_vector<T>::iterator> d_result3 =
|
|
thrust::partition_copy(
|
|
d_data.begin(), d_data.end(), thrust::make_discard_iterator(), d_falses.begin(), is_even<T>());
|
|
|
|
cuda::std::pair<thrust::discard_iterator<>, typename thrust::host_vector<T>::iterator> h_reference3 =
|
|
cuda::std::make_pair(thrust::make_discard_iterator(n_true), h_falses.begin() + n_false);
|
|
|
|
cuda::std::pair<thrust::discard_iterator<>, typename thrust::device_vector<T>::iterator> d_reference3 =
|
|
cuda::std::make_pair(thrust::make_discard_iterator(n_true), d_falses.begin() + n_false);
|
|
|
|
ASSERT_EQUAL(h_falses, d_falses);
|
|
ASSERT_EQUAL_QUIET(h_reference3, h_result3);
|
|
ASSERT_EQUAL_QUIET(d_reference3, d_result3);
|
|
}
|
|
};
|
|
VariableUnitTest<TestPartitionCopyToDiscardIterator, PartitionTypes> TestPartitionCopyToDiscardIteratorInstance;
|
|
|
|
template <typename T>
|
|
struct TestPartitionCopyStencilToDiscardIterator
|
|
{
|
|
void operator()(const size_t n)
|
|
{
|
|
// setup input ranges
|
|
thrust::host_vector<T> h_data = unittest::random_integers<T>(n);
|
|
thrust::host_vector<T> h_stencil = unittest::random_integers<T>(n);
|
|
thrust::device_vector<T> d_data = h_data;
|
|
thrust::device_vector<T> d_stencil = h_stencil;
|
|
|
|
std::ptrdiff_t n_true = thrust::count_if(h_stencil.begin(), h_stencil.end(), is_even<T>());
|
|
std::ptrdiff_t n_false = static_cast<std::ptrdiff_t>(n - n_true);
|
|
|
|
// mask both ranges
|
|
cuda::std::pair<thrust::discard_iterator<>, thrust::discard_iterator<>> h_result1 = thrust::partition_copy(
|
|
h_data.begin(),
|
|
h_data.end(),
|
|
h_stencil.begin(),
|
|
thrust::make_discard_iterator(),
|
|
thrust::make_discard_iterator(),
|
|
is_even<T>());
|
|
|
|
cuda::std::pair<thrust::discard_iterator<>, thrust::discard_iterator<>> d_result1 = thrust::partition_copy(
|
|
d_data.begin(),
|
|
d_data.end(),
|
|
d_stencil.begin(),
|
|
thrust::make_discard_iterator(),
|
|
thrust::make_discard_iterator(),
|
|
is_even<T>());
|
|
|
|
cuda::std::pair<thrust::discard_iterator<>, thrust::discard_iterator<>> reference1 =
|
|
cuda::std::make_pair(thrust::make_discard_iterator(n_true), thrust::make_discard_iterator(n_false));
|
|
|
|
ASSERT_EQUAL_QUIET(reference1, h_result1);
|
|
ASSERT_EQUAL_QUIET(reference1, d_result1);
|
|
|
|
// mask the false range
|
|
thrust::host_vector<T> h_trues(n_true);
|
|
thrust::device_vector<T> d_trues(n_true);
|
|
|
|
cuda::std::pair<typename thrust::host_vector<T>::iterator, thrust::discard_iterator<>> h_result2 =
|
|
thrust::partition_copy(
|
|
h_data.begin(), h_data.end(), h_stencil.begin(), h_trues.begin(), thrust::make_discard_iterator(), is_even<T>());
|
|
|
|
cuda::std::pair<typename thrust::device_vector<T>::iterator, thrust::discard_iterator<>> d_result2 =
|
|
thrust::partition_copy(
|
|
d_data.begin(), d_data.end(), d_stencil.begin(), d_trues.begin(), thrust::make_discard_iterator(), is_even<T>());
|
|
|
|
cuda::std::pair<typename thrust::host_vector<T>::iterator, thrust::discard_iterator<>> h_reference2 =
|
|
cuda::std::make_pair(h_trues.begin() + n_true, thrust::make_discard_iterator(n_false));
|
|
|
|
cuda::std::pair<typename thrust::device_vector<T>::iterator, thrust::discard_iterator<>> d_reference2 =
|
|
cuda::std::make_pair(d_trues.begin() + n_true, thrust::make_discard_iterator(n_false));
|
|
|
|
ASSERT_EQUAL(h_trues, d_trues);
|
|
ASSERT_EQUAL_QUIET(h_reference2, h_result2);
|
|
ASSERT_EQUAL_QUIET(d_reference2, d_result2);
|
|
|
|
// mask the true range
|
|
thrust::host_vector<T> h_falses(n_false);
|
|
thrust::device_vector<T> d_falses(n_false);
|
|
|
|
cuda::std::pair<thrust::discard_iterator<>, typename thrust::host_vector<T>::iterator> h_result3 =
|
|
thrust::partition_copy(
|
|
h_data.begin(),
|
|
h_data.end(),
|
|
h_stencil.begin(),
|
|
thrust::make_discard_iterator(),
|
|
h_falses.begin(),
|
|
is_even<T>());
|
|
|
|
cuda::std::pair<thrust::discard_iterator<>, typename thrust::device_vector<T>::iterator> d_result3 =
|
|
thrust::partition_copy(
|
|
d_data.begin(),
|
|
d_data.end(),
|
|
d_stencil.begin(),
|
|
thrust::make_discard_iterator(),
|
|
d_falses.begin(),
|
|
is_even<T>());
|
|
|
|
cuda::std::pair<thrust::discard_iterator<>, typename thrust::host_vector<T>::iterator> h_reference3 =
|
|
cuda::std::make_pair(thrust::make_discard_iterator(n_true), h_falses.begin() + n_false);
|
|
|
|
cuda::std::pair<thrust::discard_iterator<>, typename thrust::device_vector<T>::iterator> d_reference3 =
|
|
cuda::std::make_pair(thrust::make_discard_iterator(n_true), d_falses.begin() + n_false);
|
|
|
|
ASSERT_EQUAL(h_falses, d_falses);
|
|
ASSERT_EQUAL_QUIET(h_reference3, h_result3);
|
|
ASSERT_EQUAL_QUIET(d_reference3, d_result3);
|
|
}
|
|
};
|
|
VariableUnitTest<TestPartitionCopyStencilToDiscardIterator, PartitionTypes>
|
|
TestPartitionCopyStencilToDiscardIteratorInstance;
|
|
|
|
// GCC 11 miscompiles and segfaults in this tests.
|
|
#ifndef WAIVE_GCC11_FAILURES
|
|
|
|
template <typename T>
|
|
struct TestStablePartition
|
|
{
|
|
void operator()(const size_t n)
|
|
{
|
|
// setup ranges
|
|
thrust::host_vector<T> h_data = unittest::random_integers<T>(n);
|
|
thrust::device_vector<T> d_data = h_data;
|
|
|
|
typename thrust::host_vector<T>::iterator h_iter =
|
|
thrust::stable_partition(h_data.begin(), h_data.end(), is_even<T>());
|
|
typename thrust::device_vector<T>::iterator d_iter =
|
|
thrust::stable_partition(d_data.begin(), d_data.end(), is_even<T>());
|
|
|
|
ASSERT_EQUAL(h_data, d_data);
|
|
ASSERT_EQUAL(h_iter - h_data.begin(), d_iter - d_data.begin());
|
|
}
|
|
};
|
|
VariableUnitTest<TestStablePartition, PartitionTypes> TestStablePartitionInstance;
|
|
|
|
#endif // WAIVE_GCC11_FAILURES
|
|
|
|
// GCC 11 miscompiles and segfaults in this tests.
|
|
#ifndef WAIVE_GCC11_FAILURES
|
|
|
|
template <typename T>
|
|
struct TestStablePartitionStencil
|
|
{
|
|
void operator()(const size_t n)
|
|
{
|
|
// setup ranges
|
|
thrust::host_vector<T> h_data = unittest::random_integers<T>(n);
|
|
thrust::host_vector<T> h_stencil = unittest::random_integers<T>(n);
|
|
thrust::device_vector<T> d_data = h_data;
|
|
thrust::device_vector<T> d_stencil = h_stencil;
|
|
|
|
typename thrust::host_vector<T>::iterator h_iter =
|
|
thrust::stable_partition(h_data.begin(), h_data.end(), h_stencil.begin(), is_even<T>());
|
|
typename thrust::device_vector<T>::iterator d_iter =
|
|
thrust::stable_partition(d_data.begin(), d_data.end(), d_stencil.begin(), is_even<T>());
|
|
|
|
ASSERT_EQUAL(h_data, d_data);
|
|
ASSERT_EQUAL(h_iter - h_data.begin(), d_iter - d_data.begin());
|
|
}
|
|
};
|
|
VariableUnitTest<TestStablePartitionStencil, PartitionTypes> TestStablePartitionStencilInstance;
|
|
|
|
#endif // WAIVE_GCC11_FAILURES
|
|
|
|
template <typename T>
|
|
struct TestStablePartitionCopy
|
|
{
|
|
void operator()(const size_t n)
|
|
{
|
|
// setup input ranges
|
|
thrust::host_vector<T> h_data = unittest::random_integers<T>(n);
|
|
thrust::device_vector<T> d_data = h_data;
|
|
|
|
std::ptrdiff_t n_true = thrust::count_if(h_data.begin(), h_data.end(), is_even<T>());
|
|
std::ptrdiff_t n_false = static_cast<std::ptrdiff_t>(n - n_true);
|
|
|
|
// setup output ranges
|
|
thrust::host_vector<T> h_true_results(n_true, 0);
|
|
thrust::host_vector<T> h_false_results(n_false, 0);
|
|
thrust::device_vector<T> d_true_results(n_true, 0);
|
|
thrust::device_vector<T> d_false_results(n_false, 0);
|
|
|
|
cuda::std::pair<typename thrust::host_vector<T>::iterator, typename thrust::host_vector<T>::iterator> h_ends =
|
|
thrust::stable_partition_copy(
|
|
h_data.begin(), h_data.end(), h_true_results.begin(), h_false_results.begin(), is_even<T>());
|
|
|
|
cuda::std::pair<typename thrust::device_vector<T>::iterator, typename thrust::device_vector<T>::iterator> d_ends =
|
|
thrust::stable_partition_copy(
|
|
d_data.begin(), d_data.end(), d_true_results.begin(), d_false_results.begin(), is_even<T>());
|
|
|
|
// check true output
|
|
ASSERT_EQUAL(h_ends.first - h_true_results.begin(), n_true);
|
|
ASSERT_EQUAL(d_ends.first - d_true_results.begin(), n_true);
|
|
ASSERT_EQUAL(h_true_results, d_true_results);
|
|
|
|
// check false output
|
|
ASSERT_EQUAL(h_ends.second - h_false_results.begin(), n_false);
|
|
ASSERT_EQUAL(d_ends.second - d_false_results.begin(), n_false);
|
|
ASSERT_EQUAL(h_false_results, d_false_results);
|
|
}
|
|
};
|
|
VariableUnitTest<TestStablePartitionCopy, PartitionTypes> TestStablePartitionCopyInstance;
|
|
|
|
template <typename T>
|
|
struct TestStablePartitionCopyToDiscardIterator
|
|
{
|
|
void operator()(const size_t n)
|
|
{
|
|
// setup input ranges
|
|
thrust::host_vector<T> h_data = unittest::random_integers<T>(n);
|
|
thrust::device_vector<T> d_data = h_data;
|
|
|
|
std::ptrdiff_t n_true = thrust::count_if(h_data.begin(), h_data.end(), is_even<T>());
|
|
std::ptrdiff_t n_false = static_cast<std::ptrdiff_t>(n - n_true);
|
|
|
|
// mask both ranges
|
|
cuda::std::pair<thrust::discard_iterator<>, thrust::discard_iterator<>> h_result1 = thrust::stable_partition_copy(
|
|
h_data.begin(), h_data.end(), thrust::make_discard_iterator(), thrust::make_discard_iterator(), is_even<T>());
|
|
|
|
cuda::std::pair<thrust::discard_iterator<>, thrust::discard_iterator<>> d_result1 = thrust::stable_partition_copy(
|
|
d_data.begin(), d_data.end(), thrust::make_discard_iterator(), thrust::make_discard_iterator(), is_even<T>());
|
|
|
|
cuda::std::pair<thrust::discard_iterator<>, thrust::discard_iterator<>> reference1 =
|
|
cuda::std::make_pair(thrust::make_discard_iterator(n_true), thrust::make_discard_iterator(n_false));
|
|
|
|
ASSERT_EQUAL_QUIET(reference1, h_result1);
|
|
ASSERT_EQUAL_QUIET(reference1, d_result1);
|
|
|
|
// mask the false range
|
|
thrust::host_vector<T> h_trues(n_true);
|
|
thrust::device_vector<T> d_trues(n_true);
|
|
|
|
cuda::std::pair<typename thrust::host_vector<T>::iterator, thrust::discard_iterator<>> h_result2 =
|
|
thrust::stable_partition_copy(
|
|
h_data.begin(), h_data.end(), h_trues.begin(), thrust::make_discard_iterator(), is_even<T>());
|
|
|
|
cuda::std::pair<typename thrust::device_vector<T>::iterator, thrust::discard_iterator<>> d_result2 =
|
|
thrust::stable_partition_copy(
|
|
d_data.begin(), d_data.end(), d_trues.begin(), thrust::make_discard_iterator(), is_even<T>());
|
|
|
|
cuda::std::pair<typename thrust::host_vector<T>::iterator, thrust::discard_iterator<>> h_reference2 =
|
|
cuda::std::make_pair(h_trues.begin() + n_true, thrust::make_discard_iterator(n_false));
|
|
|
|
cuda::std::pair<typename thrust::device_vector<T>::iterator, thrust::discard_iterator<>> d_reference2 =
|
|
cuda::std::make_pair(d_trues.begin() + n_true, thrust::make_discard_iterator(n_false));
|
|
|
|
ASSERT_EQUAL(h_trues, d_trues);
|
|
ASSERT_EQUAL_QUIET(h_reference2, h_result2);
|
|
ASSERT_EQUAL_QUIET(d_reference2, d_result2);
|
|
|
|
// mask the true range
|
|
thrust::host_vector<T> h_falses(n_false);
|
|
thrust::device_vector<T> d_falses(n_false);
|
|
|
|
cuda::std::pair<thrust::discard_iterator<>, typename thrust::host_vector<T>::iterator> h_result3 =
|
|
thrust::stable_partition_copy(
|
|
h_data.begin(), h_data.end(), thrust::make_discard_iterator(), h_falses.begin(), is_even<T>());
|
|
|
|
cuda::std::pair<thrust::discard_iterator<>, typename thrust::device_vector<T>::iterator> d_result3 =
|
|
thrust::stable_partition_copy(
|
|
d_data.begin(), d_data.end(), thrust::make_discard_iterator(), d_falses.begin(), is_even<T>());
|
|
|
|
cuda::std::pair<thrust::discard_iterator<>, typename thrust::host_vector<T>::iterator> h_reference3 =
|
|
cuda::std::make_pair(thrust::make_discard_iterator(n_true), h_falses.begin() + n_false);
|
|
|
|
cuda::std::pair<thrust::discard_iterator<>, typename thrust::device_vector<T>::iterator> d_reference3 =
|
|
cuda::std::make_pair(thrust::make_discard_iterator(n_true), d_falses.begin() + n_false);
|
|
|
|
ASSERT_EQUAL(h_falses, d_falses);
|
|
ASSERT_EQUAL_QUIET(h_reference3, h_result3);
|
|
ASSERT_EQUAL_QUIET(d_reference3, d_result3);
|
|
}
|
|
};
|
|
VariableUnitTest<TestStablePartitionCopyToDiscardIterator, PartitionTypes>
|
|
TestStablePartitionCopyToDiscardIteratorInstance;
|
|
|
|
template <typename T>
|
|
struct TestStablePartitionCopyStencilToDiscardIterator
|
|
{
|
|
void operator()(const size_t n)
|
|
{
|
|
// setup input ranges
|
|
thrust::host_vector<T> h_data = unittest::random_integers<T>(n);
|
|
thrust::host_vector<T> h_stencil = unittest::random_integers<T>(n);
|
|
thrust::device_vector<T> d_data = h_data;
|
|
thrust::device_vector<T> d_stencil = h_stencil;
|
|
|
|
std::ptrdiff_t n_true = thrust::count_if(h_stencil.begin(), h_stencil.end(), is_even<T>());
|
|
std::ptrdiff_t n_false = static_cast<std::ptrdiff_t>(n - n_true);
|
|
|
|
// mask both ranges
|
|
cuda::std::pair<thrust::discard_iterator<>, thrust::discard_iterator<>> h_result1 = thrust::stable_partition_copy(
|
|
h_data.begin(),
|
|
h_data.end(),
|
|
h_stencil.begin(),
|
|
thrust::make_discard_iterator(),
|
|
thrust::make_discard_iterator(),
|
|
is_even<T>());
|
|
|
|
cuda::std::pair<thrust::discard_iterator<>, thrust::discard_iterator<>> d_result1 = thrust::stable_partition_copy(
|
|
d_data.begin(),
|
|
d_data.end(),
|
|
d_stencil.begin(),
|
|
thrust::make_discard_iterator(),
|
|
thrust::make_discard_iterator(),
|
|
is_even<T>());
|
|
|
|
cuda::std::pair<thrust::discard_iterator<>, thrust::discard_iterator<>> reference1 =
|
|
cuda::std::make_pair(thrust::make_discard_iterator(n_true), thrust::make_discard_iterator(n_false));
|
|
|
|
ASSERT_EQUAL_QUIET(reference1, h_result1);
|
|
ASSERT_EQUAL_QUIET(reference1, d_result1);
|
|
|
|
// mask the false range
|
|
thrust::host_vector<T> h_trues(n_true);
|
|
thrust::device_vector<T> d_trues(n_true);
|
|
|
|
cuda::std::pair<typename thrust::host_vector<T>::iterator, thrust::discard_iterator<>> h_result2 =
|
|
thrust::stable_partition_copy(
|
|
h_data.begin(), h_data.end(), h_stencil.begin(), h_trues.begin(), thrust::make_discard_iterator(), is_even<T>());
|
|
|
|
cuda::std::pair<typename thrust::device_vector<T>::iterator, thrust::discard_iterator<>> d_result2 =
|
|
thrust::stable_partition_copy(
|
|
d_data.begin(), d_data.end(), d_stencil.begin(), d_trues.begin(), thrust::make_discard_iterator(), is_even<T>());
|
|
|
|
cuda::std::pair<typename thrust::host_vector<T>::iterator, thrust::discard_iterator<>> h_reference2 =
|
|
cuda::std::make_pair(h_trues.begin() + n_true, thrust::make_discard_iterator(n_false));
|
|
|
|
cuda::std::pair<typename thrust::device_vector<T>::iterator, thrust::discard_iterator<>> d_reference2 =
|
|
cuda::std::make_pair(d_trues.begin() + n_true, thrust::make_discard_iterator(n_false));
|
|
|
|
ASSERT_EQUAL(h_trues, d_trues);
|
|
ASSERT_EQUAL_QUIET(h_reference2, h_result2);
|
|
ASSERT_EQUAL_QUIET(d_reference2, d_result2);
|
|
|
|
// mask the true range
|
|
thrust::host_vector<T> h_falses(n_false);
|
|
thrust::device_vector<T> d_falses(n_false);
|
|
|
|
cuda::std::pair<thrust::discard_iterator<>, typename thrust::host_vector<T>::iterator> h_result3 =
|
|
thrust::stable_partition_copy(
|
|
h_data.begin(),
|
|
h_data.end(),
|
|
h_stencil.begin(),
|
|
thrust::make_discard_iterator(),
|
|
h_falses.begin(),
|
|
is_even<T>());
|
|
|
|
cuda::std::pair<thrust::discard_iterator<>, typename thrust::device_vector<T>::iterator> d_result3 =
|
|
thrust::stable_partition_copy(
|
|
d_data.begin(),
|
|
d_data.end(),
|
|
d_stencil.begin(),
|
|
thrust::make_discard_iterator(),
|
|
d_falses.begin(),
|
|
is_even<T>());
|
|
|
|
cuda::std::pair<thrust::discard_iterator<>, typename thrust::host_vector<T>::iterator> h_reference3 =
|
|
cuda::std::make_pair(thrust::make_discard_iterator(n_true), h_falses.begin() + n_false);
|
|
|
|
cuda::std::pair<thrust::discard_iterator<>, typename thrust::device_vector<T>::iterator> d_reference3 =
|
|
cuda::std::make_pair(thrust::make_discard_iterator(n_true), d_falses.begin() + n_false);
|
|
|
|
ASSERT_EQUAL(h_falses, d_falses);
|
|
ASSERT_EQUAL_QUIET(h_reference3, h_result3);
|
|
ASSERT_EQUAL_QUIET(d_reference3, d_result3);
|
|
}
|
|
};
|
|
VariableUnitTest<TestStablePartitionCopyStencilToDiscardIterator, PartitionTypes>
|
|
TestStablePartitionCopyStencilToDiscardIteratorInstance;
|
|
|
|
struct is_ordered
|
|
{
|
|
template <typename Tuple>
|
|
_CCCL_HOST_DEVICE bool operator()(const Tuple& t) const
|
|
{
|
|
return cuda::std::get<0>(t) <= cuda::std::get<1>(t);
|
|
}
|
|
};
|
|
|
|
template <typename Vector>
|
|
void TestPartitionZipIterator()
|
|
{
|
|
Vector data1{1, 2, 1, 1, 2};
|
|
Vector data2{2, 1, 2, 2, 1};
|
|
|
|
using Iterator = typename Vector::iterator;
|
|
using IteratorTuple = cuda::std::tuple<Iterator, Iterator>;
|
|
using ZipIterator = thrust::zip_iterator<IteratorTuple>;
|
|
|
|
ZipIterator begin = thrust::make_zip_iterator(data1.begin(), data2.begin());
|
|
ZipIterator end = thrust::make_zip_iterator(data1.end(), data2.end());
|
|
|
|
ZipIterator iter = thrust::partition(begin, end, is_ordered());
|
|
|
|
Vector ref1{1, 1, 1, 2, 2};
|
|
Vector ref2{2, 2, 2, 1, 1};
|
|
|
|
ASSERT_EQUAL(iter - begin, 3);
|
|
ASSERT_EQUAL(data1, ref1);
|
|
ASSERT_EQUAL(data2, ref2);
|
|
}
|
|
DECLARE_VECTOR_UNITTEST(TestPartitionZipIterator);
|
|
|
|
template <typename Vector>
|
|
void TestPartitionStencilZipIterator()
|
|
{
|
|
Vector data{1, 0, 1, 1, 0};
|
|
|
|
Vector stencil1{1, 2, 1, 1, 2};
|
|
Vector stencil2{2, 1, 2, 2, 1};
|
|
|
|
using Iterator = typename Vector::iterator;
|
|
using IteratorTuple = cuda::std::tuple<Iterator, Iterator>;
|
|
using ZipIterator = thrust::zip_iterator<IteratorTuple>;
|
|
|
|
ZipIterator stencil_begin = thrust::make_zip_iterator(stencil1.begin(), stencil2.begin());
|
|
|
|
Iterator iter = thrust::partition(data.begin(), data.end(), stencil_begin, is_ordered());
|
|
|
|
Vector ref{1, 1, 1, 0, 0};
|
|
|
|
ASSERT_EQUAL(iter - data.begin(), 3);
|
|
ASSERT_EQUAL(data, ref);
|
|
}
|
|
DECLARE_VECTOR_UNITTEST(TestPartitionStencilZipIterator);
|
|
|
|
template <typename Vector>
|
|
void TestStablePartitionZipIterator()
|
|
{
|
|
Vector data1{1, 2, 1, 1, 2};
|
|
Vector data2{2, 0, 3, 2, 1};
|
|
|
|
using Iterator = typename Vector::iterator;
|
|
using IteratorTuple = cuda::std::tuple<Iterator, Iterator>;
|
|
using ZipIterator = thrust::zip_iterator<IteratorTuple>;
|
|
|
|
ZipIterator begin = thrust::make_zip_iterator(data1.begin(), data2.begin());
|
|
ZipIterator end = thrust::make_zip_iterator(data1.end(), data2.end());
|
|
|
|
ZipIterator iter = thrust::stable_partition(begin, end, is_ordered());
|
|
|
|
Vector ref1{1, 1, 1, 2, 2};
|
|
Vector ref2{2, 3, 2, 0, 1};
|
|
|
|
ASSERT_EQUAL(data1, ref1);
|
|
ASSERT_EQUAL(data2, ref2);
|
|
ASSERT_EQUAL(iter - begin, 3);
|
|
}
|
|
DECLARE_VECTOR_UNITTEST(TestStablePartitionZipIterator);
|
|
|
|
template <typename Vector>
|
|
void TestStablePartitionStencilZipIterator()
|
|
{
|
|
Vector data{1, 0, 1, 1, 0};
|
|
|
|
Vector stencil1{1, 2, 1, 1, 2};
|
|
Vector stencil2{2, 0, 3, 2, 1};
|
|
|
|
using Iterator = typename Vector::iterator;
|
|
using IteratorTuple = cuda::std::tuple<Iterator, Iterator>;
|
|
using ZipIterator = thrust::zip_iterator<IteratorTuple>;
|
|
|
|
ZipIterator stencil_begin = thrust::make_zip_iterator(stencil1.begin(), stencil2.begin());
|
|
|
|
Iterator mid = thrust::stable_partition(data.begin(), data.end(), stencil_begin, is_ordered());
|
|
|
|
Vector ref{1, 1, 1, 0, 0};
|
|
|
|
ASSERT_EQUAL(ref, data);
|
|
ASSERT_EQUAL(mid - data.begin(), 3);
|
|
}
|
|
DECLARE_VECTOR_UNITTEST(TestStablePartitionStencilZipIterator);
|
|
|
|
template <typename ForwardIterator, typename Predicate>
|
|
ForwardIterator partition(my_system& system, ForwardIterator first, ForwardIterator, Predicate)
|
|
{
|
|
system.validate_dispatch();
|
|
return first;
|
|
}
|
|
|
|
void TestPartitionDispatchExplicit()
|
|
{
|
|
thrust::device_vector<int> vec(1);
|
|
|
|
my_system sys(0);
|
|
thrust::partition(sys, vec.begin(), vec.begin(), 0);
|
|
|
|
ASSERT_EQUAL(true, sys.is_valid());
|
|
}
|
|
DECLARE_UNITTEST(TestPartitionDispatchExplicit);
|
|
|
|
template <typename ForwardIterator, typename InputIterator, typename Predicate>
|
|
ForwardIterator partition(my_system& system, ForwardIterator first, ForwardIterator, InputIterator, Predicate)
|
|
{
|
|
system.validate_dispatch();
|
|
return first;
|
|
}
|
|
|
|
void TestPartitionStencilDispatchExplicit()
|
|
{
|
|
thrust::device_vector<int> vec(1);
|
|
|
|
my_system sys(0);
|
|
thrust::partition(sys, vec.begin(), vec.begin(), vec.begin(), 0);
|
|
|
|
ASSERT_EQUAL(true, sys.is_valid());
|
|
}
|
|
DECLARE_UNITTEST(TestPartitionStencilDispatchExplicit);
|
|
|
|
template <typename ForwardIterator, typename Predicate>
|
|
ForwardIterator partition(my_tag, ForwardIterator first, ForwardIterator, Predicate)
|
|
{
|
|
*first = 13;
|
|
return first;
|
|
}
|
|
|
|
void TestPartitionDispatchImplicit()
|
|
{
|
|
thrust::device_vector<int> vec(1);
|
|
|
|
thrust::partition(thrust::retag<my_tag>(vec.begin()), thrust::retag<my_tag>(vec.begin()), 0);
|
|
|
|
ASSERT_EQUAL(13, vec.front());
|
|
}
|
|
DECLARE_UNITTEST(TestPartitionDispatchImplicit);
|
|
|
|
template <typename ForwardIterator, typename InputIterator, typename Predicate>
|
|
ForwardIterator partition(my_tag, ForwardIterator first, ForwardIterator, InputIterator, Predicate)
|
|
{
|
|
*first = 13;
|
|
return first;
|
|
}
|
|
|
|
void TestPartitionStencilDispatchImplicit()
|
|
{
|
|
thrust::device_vector<int> vec(1);
|
|
|
|
thrust::partition(
|
|
thrust::retag<my_tag>(vec.begin()), thrust::retag<my_tag>(vec.begin()), thrust::retag<my_tag>(vec.begin()), 0);
|
|
|
|
ASSERT_EQUAL(13, vec.front());
|
|
}
|
|
DECLARE_UNITTEST(TestPartitionStencilDispatchImplicit);
|
|
|
|
template <typename InputIterator, typename OutputIterator1, typename OutputIterator2, typename Predicate>
|
|
cuda::std::pair<OutputIterator1, OutputIterator2> partition_copy(
|
|
my_system& system, InputIterator, InputIterator, OutputIterator1 out_true, OutputIterator2 out_false, Predicate)
|
|
{
|
|
system.validate_dispatch();
|
|
return cuda::std::make_pair(out_true, out_false);
|
|
}
|
|
|
|
void TestPartitionCopyDispatchExplicit()
|
|
{
|
|
thrust::device_vector<int> vec(1);
|
|
|
|
my_system sys(0);
|
|
thrust::partition_copy(sys, vec.begin(), vec.begin(), vec.begin(), vec.begin(), 0);
|
|
|
|
ASSERT_EQUAL(true, sys.is_valid());
|
|
}
|
|
DECLARE_UNITTEST(TestPartitionCopyDispatchExplicit);
|
|
|
|
template <typename InputIterator1,
|
|
typename InputIterator2,
|
|
typename OutputIterator1,
|
|
typename OutputIterator2,
|
|
typename Predicate>
|
|
cuda::std::pair<OutputIterator1, OutputIterator2> partition_copy(
|
|
my_system& system,
|
|
InputIterator1,
|
|
InputIterator1,
|
|
InputIterator2,
|
|
OutputIterator1 out_true,
|
|
OutputIterator2 out_false,
|
|
Predicate)
|
|
{
|
|
system.validate_dispatch();
|
|
return cuda::std::make_pair(out_true, out_false);
|
|
}
|
|
|
|
void TestPartitionCopyStencilDispatchExplicit()
|
|
{
|
|
thrust::device_vector<int> vec(1);
|
|
|
|
my_system sys(0);
|
|
thrust::partition_copy(sys, vec.begin(), vec.begin(), vec.begin(), vec.begin(), vec.begin(), 0);
|
|
|
|
ASSERT_EQUAL(true, sys.is_valid());
|
|
}
|
|
DECLARE_UNITTEST(TestPartitionCopyStencilDispatchExplicit);
|
|
|
|
template <typename InputIterator, typename OutputIterator1, typename OutputIterator2, typename Predicate>
|
|
cuda::std::pair<OutputIterator1, OutputIterator2> partition_copy(
|
|
my_tag, InputIterator first, InputIterator, OutputIterator1 out_true, OutputIterator2 out_false, Predicate)
|
|
{
|
|
*first = 13;
|
|
return cuda::std::make_pair(out_true, out_false);
|
|
}
|
|
|
|
void TestPartitionCopyDispatchImplicit()
|
|
{
|
|
thrust::device_vector<int> vec(1);
|
|
|
|
thrust::partition_copy(
|
|
thrust::retag<my_tag>(vec.begin()),
|
|
thrust::retag<my_tag>(vec.begin()),
|
|
thrust::retag<my_tag>(vec.begin()),
|
|
thrust::retag<my_tag>(vec.begin()),
|
|
0);
|
|
|
|
ASSERT_EQUAL(13, vec.front());
|
|
}
|
|
DECLARE_UNITTEST(TestPartitionCopyDispatchImplicit);
|
|
|
|
template <typename InputIterator1,
|
|
typename InputIterator2,
|
|
typename OutputIterator1,
|
|
typename OutputIterator2,
|
|
typename Predicate>
|
|
cuda::std::pair<OutputIterator1, OutputIterator2> partition_copy(
|
|
my_tag,
|
|
InputIterator1 first,
|
|
InputIterator1,
|
|
InputIterator2,
|
|
OutputIterator1 out_true,
|
|
OutputIterator2 out_false,
|
|
Predicate)
|
|
{
|
|
*first = 13;
|
|
return cuda::std::make_pair(out_true, out_false);
|
|
}
|
|
|
|
void TestPartitionCopyStencilDispatchImplicit()
|
|
{
|
|
thrust::device_vector<int> vec(1);
|
|
|
|
thrust::partition_copy(
|
|
thrust::retag<my_tag>(vec.begin()),
|
|
thrust::retag<my_tag>(vec.begin()),
|
|
thrust::retag<my_tag>(vec.begin()),
|
|
thrust::retag<my_tag>(vec.begin()),
|
|
thrust::retag<my_tag>(vec.begin()),
|
|
0);
|
|
|
|
ASSERT_EQUAL(13, vec.front());
|
|
}
|
|
DECLARE_UNITTEST(TestPartitionCopyStencilDispatchImplicit);
|
|
|
|
template <typename ForwardIterator, typename Predicate>
|
|
ForwardIterator stable_partition(my_system& system, ForwardIterator first, ForwardIterator, Predicate)
|
|
{
|
|
system.validate_dispatch();
|
|
return first;
|
|
}
|
|
|
|
void TestStablePartitionDispatchExplicit()
|
|
{
|
|
thrust::device_vector<int> vec(1);
|
|
|
|
my_system sys(0);
|
|
thrust::stable_partition(sys, vec.begin(), vec.begin(), 0);
|
|
|
|
ASSERT_EQUAL(true, sys.is_valid());
|
|
}
|
|
DECLARE_UNITTEST(TestStablePartitionDispatchExplicit);
|
|
|
|
template <typename ForwardIterator, typename InputIterator, typename Predicate>
|
|
ForwardIterator stable_partition(my_system& system, ForwardIterator first, ForwardIterator, InputIterator, Predicate)
|
|
{
|
|
system.validate_dispatch();
|
|
return first;
|
|
}
|
|
|
|
void TestStablePartitionStencilDispatchExplicit()
|
|
{
|
|
thrust::device_vector<int> vec(1);
|
|
|
|
my_system sys(0);
|
|
thrust::stable_partition(sys, vec.begin(), vec.begin(), vec.begin(), 0);
|
|
|
|
ASSERT_EQUAL(true, sys.is_valid());
|
|
}
|
|
DECLARE_UNITTEST(TestStablePartitionStencilDispatchExplicit);
|
|
|
|
template <typename ForwardIterator, typename Predicate>
|
|
ForwardIterator stable_partition(my_tag, ForwardIterator first, ForwardIterator, Predicate)
|
|
{
|
|
*first = 13;
|
|
return first;
|
|
}
|
|
|
|
void TestStablePartitionDispatchImplicit()
|
|
{
|
|
thrust::device_vector<int> vec(1);
|
|
|
|
thrust::stable_partition(thrust::retag<my_tag>(vec.begin()), thrust::retag<my_tag>(vec.begin()), 0);
|
|
|
|
ASSERT_EQUAL(13, vec.front());
|
|
}
|
|
DECLARE_UNITTEST(TestStablePartitionDispatchImplicit);
|
|
|
|
template <typename ForwardIterator, typename InputIterator, typename Predicate>
|
|
ForwardIterator stable_partition(my_tag, ForwardIterator first, ForwardIterator, InputIterator, Predicate)
|
|
{
|
|
*first = 13;
|
|
return first;
|
|
}
|
|
|
|
void TestStablePartitionStencilDispatchImplicit()
|
|
{
|
|
thrust::device_vector<int> vec(1);
|
|
|
|
thrust::stable_partition(
|
|
thrust::retag<my_tag>(vec.begin()), thrust::retag<my_tag>(vec.begin()), thrust::retag<my_tag>(vec.begin()), 0);
|
|
|
|
ASSERT_EQUAL(13, vec.front());
|
|
}
|
|
DECLARE_UNITTEST(TestStablePartitionStencilDispatchImplicit);
|
|
|
|
template <typename InputIterator, typename OutputIterator1, typename OutputIterator2, typename Predicate>
|
|
cuda::std::pair<OutputIterator1, OutputIterator2> stable_partition_copy(
|
|
my_system& system, InputIterator, InputIterator, OutputIterator1 out_true, OutputIterator2 out_false, Predicate)
|
|
{
|
|
system.validate_dispatch();
|
|
return cuda::std::make_pair(out_true, out_false);
|
|
}
|
|
|
|
void TestStablePartitionCopyDispatchExplicit()
|
|
{
|
|
thrust::device_vector<int> vec(1);
|
|
|
|
my_system sys(0);
|
|
thrust::stable_partition_copy(sys, vec.begin(), vec.begin(), vec.begin(), vec.begin(), 0);
|
|
|
|
ASSERT_EQUAL(true, sys.is_valid());
|
|
}
|
|
DECLARE_UNITTEST(TestStablePartitionCopyDispatchExplicit);
|
|
|
|
template <typename InputIterator1,
|
|
typename InputIterator2,
|
|
typename OutputIterator1,
|
|
typename OutputIterator2,
|
|
typename Predicate>
|
|
cuda::std::pair<OutputIterator1, OutputIterator2> stable_partition_copy(
|
|
my_system& system,
|
|
InputIterator1,
|
|
InputIterator1,
|
|
InputIterator2,
|
|
OutputIterator1 out_true,
|
|
OutputIterator2 out_false,
|
|
Predicate)
|
|
{
|
|
system.validate_dispatch();
|
|
return cuda::std::make_pair(out_true, out_false);
|
|
}
|
|
|
|
void TestStablePartitionCopyStencilDispatchExplicit()
|
|
{
|
|
thrust::device_vector<int> vec(1);
|
|
|
|
my_system sys(0);
|
|
thrust::stable_partition_copy(sys, vec.begin(), vec.begin(), vec.begin(), vec.begin(), vec.begin(), 0);
|
|
|
|
ASSERT_EQUAL(true, sys.is_valid());
|
|
}
|
|
DECLARE_UNITTEST(TestStablePartitionCopyStencilDispatchExplicit);
|
|
|
|
template <typename InputIterator, typename OutputIterator1, typename OutputIterator2, typename Predicate>
|
|
cuda::std::pair<OutputIterator1, OutputIterator2> stable_partition_copy(
|
|
my_tag, InputIterator first, InputIterator, OutputIterator1 out_true, OutputIterator2 out_false, Predicate)
|
|
{
|
|
*first = 13;
|
|
return cuda::std::make_pair(out_true, out_false);
|
|
}
|
|
|
|
void TestStablePartitionCopyDispatchImplicit()
|
|
{
|
|
thrust::device_vector<int> vec(1);
|
|
|
|
thrust::stable_partition_copy(
|
|
thrust::retag<my_tag>(vec.begin()),
|
|
thrust::retag<my_tag>(vec.begin()),
|
|
thrust::retag<my_tag>(vec.begin()),
|
|
thrust::retag<my_tag>(vec.begin()),
|
|
0);
|
|
|
|
ASSERT_EQUAL(13, vec.front());
|
|
}
|
|
DECLARE_UNITTEST(TestStablePartitionCopyDispatchImplicit);
|
|
|
|
template <typename InputIterator1,
|
|
typename InputIterator2,
|
|
typename OutputIterator1,
|
|
typename OutputIterator2,
|
|
typename Predicate>
|
|
cuda::std::pair<OutputIterator1, OutputIterator2> stable_partition_copy(
|
|
my_tag,
|
|
InputIterator1 first,
|
|
InputIterator1,
|
|
InputIterator2,
|
|
OutputIterator1 out_true,
|
|
OutputIterator2 out_false,
|
|
Predicate)
|
|
{
|
|
*first = 13;
|
|
return cuda::std::make_pair(out_true, out_false);
|
|
}
|
|
|
|
void TestStablePartitionCopyStencilDispatchImplicit()
|
|
{
|
|
thrust::device_vector<int> vec(1);
|
|
|
|
thrust::stable_partition_copy(
|
|
thrust::retag<my_tag>(vec.begin()),
|
|
thrust::retag<my_tag>(vec.begin()),
|
|
thrust::retag<my_tag>(vec.begin()),
|
|
thrust::retag<my_tag>(vec.begin()),
|
|
thrust::retag<my_tag>(vec.begin()),
|
|
0);
|
|
|
|
ASSERT_EQUAL(13, vec.front());
|
|
}
|
|
DECLARE_UNITTEST(TestStablePartitionCopyStencilDispatchImplicit);
|