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project_6/cccl_upstream/thrust/testing/cuda/logical.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

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#include <thrust/execution_policy.h>
#include <thrust/functional.h>
#include <thrust/logical.h>
#include <unittest/unittest.h>
#ifdef THRUST_TEST_DEVICE_SIDE
template <typename ExecutionPolicy, typename Iterator, typename Function, typename Iterator2>
__global__ void all_of_kernel(ExecutionPolicy exec, Iterator first, Iterator last, Function f, Iterator2 result)
{
*result = thrust::all_of(exec, first, last, f);
}
template <typename ExecutionPolicy>
void TestAllOfDevice(ExecutionPolicy exec)
{
using T = int;
thrust::device_vector<T> v(3, 1);
thrust::device_vector<bool> result(1);
all_of_kernel<<<1, 1>>>(exec, v.begin(), v.end(), ::cuda::std::identity{}, result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(true, result[0]);
v[1] = 0;
all_of_kernel<<<1, 1>>>(exec, v.begin(), v.end(), ::cuda::std::identity{}, result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(false, result[0]);
all_of_kernel<<<1, 1>>>(exec, v.begin() + 0, v.begin() + 0, ::cuda::std::identity{}, result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(true, result[0]);
all_of_kernel<<<1, 1>>>(exec, v.begin() + 0, v.begin() + 1, ::cuda::std::identity{}, result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(true, result[0]);
all_of_kernel<<<1, 1>>>(exec, v.begin() + 0, v.begin() + 2, ::cuda::std::identity{}, result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(false, result[0]);
all_of_kernel<<<1, 1>>>(exec, v.begin() + 1, v.begin() + 2, ::cuda::std::identity{}, result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(false, result[0]);
}
void TestAllOfDeviceSeq()
{
TestAllOfDevice(thrust::seq);
}
DECLARE_UNITTEST(TestAllOfDeviceSeq);
void TestAllOfDeviceDevice()
{
TestAllOfDevice(thrust::device);
}
DECLARE_UNITTEST(TestAllOfDeviceDevice);
#endif
void TestAllOfCudaStreams()
{
using Vector = thrust::device_vector<int>;
using T = Vector::value_type;
Vector v(3, T{1});
cudaStream_t s;
cudaStreamCreate(&s);
ASSERT_EQUAL(thrust::all_of(thrust::cuda::par.on(s), v.begin(), v.end(), ::cuda::std::identity{}), true);
v[1] = 0;
ASSERT_EQUAL(thrust::all_of(thrust::cuda::par.on(s), v.begin(), v.end(), ::cuda::std::identity{}), false);
ASSERT_EQUAL(thrust::all_of(thrust::cuda::par.on(s), v.begin() + 0, v.begin() + 0, ::cuda::std::identity{}), true);
ASSERT_EQUAL(thrust::all_of(thrust::cuda::par.on(s), v.begin() + 0, v.begin() + 1, ::cuda::std::identity{}), true);
ASSERT_EQUAL(thrust::all_of(thrust::cuda::par.on(s), v.begin() + 0, v.begin() + 2, ::cuda::std::identity{}), false);
ASSERT_EQUAL(thrust::all_of(thrust::cuda::par.on(s), v.begin() + 1, v.begin() + 2, ::cuda::std::identity{}), false);
cudaStreamDestroy(s);
}
DECLARE_UNITTEST(TestAllOfCudaStreams);
#ifdef THRUST_TEST_DEVICE_SIDE
template <typename ExecutionPolicy, typename Iterator, typename Function, typename Iterator2>
__global__ void any_of_kernel(ExecutionPolicy exec, Iterator first, Iterator last, Function f, Iterator2 result)
{
*result = thrust::any_of(exec, first, last, f);
}
template <typename ExecutionPolicy>
void TestAnyOfDevice(ExecutionPolicy exec)
{
using T = int;
thrust::device_vector<T> v(3, 1);
thrust::device_vector<bool> result(1);
any_of_kernel<<<1, 1>>>(exec, v.begin(), v.end(), ::cuda::std::identity{}, result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(true, result[0]);
v[1] = 0;
any_of_kernel<<<1, 1>>>(exec, v.begin(), v.end(), ::cuda::std::identity{}, result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(true, result[0]);
any_of_kernel<<<1, 1>>>(exec, v.begin() + 0, v.begin() + 0, ::cuda::std::identity{}, result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(false, result[0]);
any_of_kernel<<<1, 1>>>(exec, v.begin() + 0, v.begin() + 1, ::cuda::std::identity{}, result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(true, result[0]);
any_of_kernel<<<1, 1>>>(exec, v.begin() + 0, v.begin() + 2, ::cuda::std::identity{}, result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(true, result[0]);
any_of_kernel<<<1, 1>>>(exec, v.begin() + 1, v.begin() + 2, ::cuda::std::identity{}, result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(false, result[0]);
}
void TestAnyOfDeviceSeq()
{
TestAnyOfDevice(thrust::seq);
}
DECLARE_UNITTEST(TestAnyOfDeviceSeq);
void TestAnyOfDeviceDevice()
{
TestAnyOfDevice(thrust::device);
}
DECLARE_UNITTEST(TestAnyOfDeviceDevice);
#endif
void TestAnyOfCudaStreams()
{
using Vector = thrust::device_vector<int>;
using T = Vector::value_type;
Vector v(3, T{1});
cudaStream_t s;
cudaStreamCreate(&s);
ASSERT_EQUAL(thrust::any_of(thrust::cuda::par.on(s), v.begin(), v.end(), ::cuda::std::identity{}), true);
v[1] = 0;
ASSERT_EQUAL(thrust::any_of(thrust::cuda::par.on(s), v.begin(), v.end(), ::cuda::std::identity{}), true);
ASSERT_EQUAL(thrust::any_of(thrust::cuda::par.on(s), v.begin() + 0, v.begin() + 0, ::cuda::std::identity{}), false);
ASSERT_EQUAL(thrust::any_of(thrust::cuda::par.on(s), v.begin() + 0, v.begin() + 1, ::cuda::std::identity{}), true);
ASSERT_EQUAL(thrust::any_of(thrust::cuda::par.on(s), v.begin() + 0, v.begin() + 2, ::cuda::std::identity{}), true);
ASSERT_EQUAL(thrust::any_of(thrust::cuda::par.on(s), v.begin() + 1, v.begin() + 2, ::cuda::std::identity{}), false);
cudaStreamDestroy(s);
}
DECLARE_UNITTEST(TestAnyOfCudaStreams);
#ifdef THRUST_TEST_DEVICE_SIDE
template <typename ExecutionPolicy, typename Iterator, typename Function, typename Iterator2>
__global__ void none_of_kernel(ExecutionPolicy exec, Iterator first, Iterator last, Function f, Iterator2 result)
{
*result = thrust::none_of(exec, first, last, f);
}
template <typename ExecutionPolicy>
void TestNoneOfDevice(ExecutionPolicy exec)
{
using T = int;
thrust::device_vector<T> v(3, 1);
thrust::device_vector<bool> result(1);
none_of_kernel<<<1, 1>>>(exec, v.begin(), v.end(), ::cuda::std::identity{}, result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(false, result[0]);
v[1] = 0;
none_of_kernel<<<1, 1>>>(exec, v.begin(), v.end(), ::cuda::std::identity{}, result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(false, result[0]);
none_of_kernel<<<1, 1>>>(exec, v.begin() + 0, v.begin() + 0, ::cuda::std::identity{}, result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(true, result[0]);
none_of_kernel<<<1, 1>>>(exec, v.begin() + 0, v.begin() + 1, ::cuda::std::identity{}, result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(false, result[0]);
none_of_kernel<<<1, 1>>>(exec, v.begin() + 0, v.begin() + 2, ::cuda::std::identity{}, result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(false, result[0]);
none_of_kernel<<<1, 1>>>(exec, v.begin() + 1, v.begin() + 2, ::cuda::std::identity{}, result.begin());
{
cudaError_t const err = cudaDeviceSynchronize();
ASSERT_EQUAL(cudaSuccess, err);
}
ASSERT_EQUAL(true, result[0]);
}
void TestNoneOfDeviceSeq()
{
TestNoneOfDevice(thrust::seq);
}
DECLARE_UNITTEST(TestNoneOfDeviceSeq);
void TestNoneOfDeviceDevice()
{
TestNoneOfDevice(thrust::device);
}
DECLARE_UNITTEST(TestNoneOfDeviceDevice);
#endif
void TestNoneOfCudaStreams()
{
using Vector = thrust::device_vector<int>;
using T = Vector::value_type;
Vector v(3, T{1});
cudaStream_t s;
cudaStreamCreate(&s);
ASSERT_EQUAL(thrust::none_of(thrust::cuda::par.on(s), v.begin(), v.end(), ::cuda::std::identity{}), false);
v[1] = 0;
ASSERT_EQUAL(thrust::none_of(thrust::cuda::par.on(s), v.begin(), v.end(), ::cuda::std::identity{}), false);
ASSERT_EQUAL(thrust::none_of(thrust::cuda::par.on(s), v.begin() + 0, v.begin() + 0, ::cuda::std::identity{}), true);
ASSERT_EQUAL(thrust::none_of(thrust::cuda::par.on(s), v.begin() + 0, v.begin() + 1, ::cuda::std::identity{}), false);
ASSERT_EQUAL(thrust::none_of(thrust::cuda::par.on(s), v.begin() + 0, v.begin() + 2, ::cuda::std::identity{}), false);
ASSERT_EQUAL(thrust::none_of(thrust::cuda::par.on(s), v.begin() + 1, v.begin() + 2, ::cuda::std::identity{}), true);
cudaStreamDestroy(s);
}
DECLARE_UNITTEST(TestNoneOfCudaStreams);
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