Files
project_6/cccl_upstream/thrust/testing/equal.cu
EngineX CI 56fd68e7dd [INFRA] Import NVIDIA/CCCL upstream as optimization reference library
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
2026-07-30 09:35:51 +00:00

150 lines
4.7 KiB
Plaintext

#include <thrust/device_free.h>
#include <thrust/device_malloc.h>
#include <thrust/equal.h>
#include <thrust/functional.h>
#include <thrust/iterator/retag.h>
#include <unittest/unittest.h>
template <class Vector>
void TestEqualSimple()
{
using T = typename Vector::value_type;
Vector v1{5, 2, 0, 0, 0};
Vector v2{5, 2, 0, 6, 1};
ASSERT_EQUAL(thrust::equal(v1.begin(), v1.end(), v1.begin()), true);
ASSERT_EQUAL(thrust::equal(v1.begin(), v1.end(), v2.begin()), false);
ASSERT_EQUAL(thrust::equal(v2.begin(), v2.end(), v2.begin()), true);
ASSERT_EQUAL(thrust::equal(v1.begin(), v1.begin() + 0, v1.begin()), true);
ASSERT_EQUAL(thrust::equal(v1.begin(), v1.begin() + 1, v1.begin()), true);
ASSERT_EQUAL(thrust::equal(v1.begin(), v1.begin() + 3, v2.begin()), true);
ASSERT_EQUAL(thrust::equal(v1.begin(), v1.begin() + 4, v2.begin()), false);
ASSERT_EQUAL(thrust::equal(v1.begin(), v1.end(), v2.begin(), ::cuda::std::less_equal<T>()), true);
ASSERT_EQUAL(thrust::equal(v1.begin(), v1.end(), v2.begin(), ::cuda::std::greater<T>()), false);
}
DECLARE_VECTOR_UNITTEST(TestEqualSimple);
template <typename T>
void TestEqual(const size_t n)
{
thrust::host_vector<T> h_data1 = unittest::random_samples<T>(n);
thrust::host_vector<T> h_data2 = unittest::random_samples<T>(n);
thrust::device_vector<T> d_data1 = h_data1;
thrust::device_vector<T> d_data2 = h_data2;
// empty ranges
ASSERT_EQUAL(thrust::equal(h_data1.begin(), h_data1.begin(), h_data1.begin()), true);
ASSERT_EQUAL(thrust::equal(d_data1.begin(), d_data1.begin(), d_data1.begin()), true);
// symmetric cases
ASSERT_EQUAL(thrust::equal(h_data1.begin(), h_data1.end(), h_data1.begin()), true);
ASSERT_EQUAL(thrust::equal(d_data1.begin(), d_data1.end(), d_data1.begin()), true);
if (n > 0)
{
h_data1[0] = 0;
h_data2[0] = 1;
d_data1[0] = 0;
d_data2[0] = 1;
// different vectors
ASSERT_EQUAL(thrust::equal(h_data1.begin(), h_data1.end(), h_data2.begin()), false);
ASSERT_EQUAL(thrust::equal(d_data1.begin(), d_data1.end(), d_data2.begin()), false);
// different predicates
ASSERT_EQUAL(thrust::equal(h_data1.begin(), h_data1.begin() + 1, h_data2.begin(), ::cuda::std::less<T>()), true);
ASSERT_EQUAL(thrust::equal(d_data1.begin(), d_data1.begin() + 1, d_data2.begin(), ::cuda::std::less<T>()), true);
ASSERT_EQUAL(thrust::equal(h_data1.begin(), h_data1.begin() + 1, h_data2.begin(), ::cuda::std::greater<T>()),
false);
ASSERT_EQUAL(thrust::equal(d_data1.begin(), d_data1.begin() + 1, d_data2.begin(), ::cuda::std::greater<T>()),
false);
}
}
DECLARE_VARIABLE_UNITTEST(TestEqual);
template <typename InputIterator1, typename InputIterator2>
bool equal(my_system& system, InputIterator1 /*first*/, InputIterator1, InputIterator2)
{
system.validate_dispatch();
return false;
}
void TestEqualDispatchExplicit()
{
thrust::device_vector<int> vec(1);
my_system sys(0);
thrust::equal(sys, vec.begin(), vec.end(), vec.begin());
ASSERT_EQUAL(true, sys.is_valid());
}
DECLARE_UNITTEST(TestEqualDispatchExplicit);
template <typename InputIterator1, typename InputIterator2>
bool equal(my_tag, InputIterator1 first, InputIterator1, InputIterator2)
{
*first = 13;
return false;
}
void TestEqualDispatchImplicit()
{
thrust::device_vector<int> vec(1);
thrust::equal(
thrust::retag<my_tag>(vec.begin()), thrust::retag<my_tag>(vec.end()), thrust::retag<my_tag>(vec.begin()));
ASSERT_EQUAL(13, vec.front());
}
DECLARE_UNITTEST(TestEqualDispatchImplicit);
struct only_set_when_both_expected
{
long long expected;
bool* flag;
_CCCL_DEVICE bool operator()(long long x, long long y)
{
if (x == expected && y == expected)
{
*flag = true;
}
return x == y;
}
};
void TestEqualWithBigIndexesHelper(int magnitude)
{
thrust::counting_iterator<long long> begin(1);
thrust::counting_iterator<long long> end = begin + (1ll << magnitude);
ASSERT_EQUAL(::cuda::std::distance(begin, end), 1ll << magnitude);
thrust::device_ptr<bool> has_executed = thrust::device_malloc<bool>(1);
*has_executed = false;
only_set_when_both_expected fn = {(1ll << magnitude) - 1, thrust::raw_pointer_cast(has_executed)};
ASSERT_EQUAL(thrust::equal(thrust::device, begin, end, begin, fn), true);
bool has_executed_h = *has_executed;
thrust::device_free(has_executed);
ASSERT_EQUAL(has_executed_h, true);
}
#ifndef THRUST_FORCE_32_BIT_OFFSET_TYPE
void TestEqualWithBigIndexes()
{
TestEqualWithBigIndexesHelper(30);
TestEqualWithBigIndexesHelper(31);
TestEqualWithBigIndexesHelper(32);
TestEqualWithBigIndexesHelper(33);
}
DECLARE_UNITTEST(TestEqualWithBigIndexes);
#endif // THRUST_FORCE_32_BIT_OFFSET_TYPE