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
379 lines
9.3 KiB
Plaintext
379 lines
9.3 KiB
Plaintext
#include <thrust/execution_policy.h>
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#include <thrust/transform_scan.h>
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#include <unittest/unittest.h>
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#ifdef THRUST_TEST_DEVICE_SIDE
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template <typename ExecutionPolicy,
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typename Iterator1,
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typename Iterator2,
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typename Function1,
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typename Function2,
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typename Iterator3>
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__global__ void transform_inclusive_scan_kernel(
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ExecutionPolicy exec,
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Iterator1 first,
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Iterator1 last,
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Iterator2 result1,
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Function1 f1,
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Function2 f2,
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Iterator3 result2)
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{
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*result2 = thrust::transform_inclusive_scan(exec, first, last, result1, f1, f2);
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}
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template <typename ExecutionPolicy,
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typename Iterator1,
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typename Iterator2,
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typename Function1,
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typename T,
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typename Function2,
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typename Iterator3>
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__global__ void transform_inclusive_scan_init_kernel(
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ExecutionPolicy exec,
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Iterator1 first,
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Iterator1 last,
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Iterator2 result1,
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Function1 f1,
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T init,
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Function2 f2,
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Iterator3 result2)
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{
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*result2 = thrust::transform_inclusive_scan(exec, first, last, result1, f1, init, f2);
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}
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template <typename ExecutionPolicy,
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typename Iterator1,
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typename Iterator2,
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typename Function1,
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typename T,
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typename Function2,
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typename Iterator3>
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__global__ void transform_exclusive_scan_kernel(
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ExecutionPolicy exec,
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Iterator1 first,
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Iterator1 last,
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Iterator2 result,
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Function1 f1,
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T init,
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Function2 f2,
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Iterator3 result2)
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{
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*result2 = thrust::transform_exclusive_scan(exec, first, last, result, f1, init, f2);
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}
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template <typename ExecutionPolicy>
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void TestTransformScanDevice(ExecutionPolicy exec)
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{
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using Vector = thrust::device_vector<int>;
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using T = typename Vector::value_type;
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typename Vector::iterator iter;
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Vector input{1, 3, -2, 4, -5};
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Vector ref{-1, -4, -2, -6, -1};
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Vector output(5);
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Vector input_copy(input);
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thrust::device_vector<typename Vector::iterator> iter_vec(1);
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// inclusive scan
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transform_inclusive_scan_kernel<<<1, 1>>>(
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exec,
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input.begin(),
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input.end(),
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output.begin(),
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::cuda::std::negate<T>(),
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::cuda::std::plus<T>(),
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iter_vec.begin());
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{
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cudaError_t const err = cudaDeviceSynchronize();
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ASSERT_EQUAL(cudaSuccess, err);
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}
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iter = iter_vec[0];
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ASSERT_EQUAL(std::size_t(iter - output.begin()), input.size());
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ASSERT_EQUAL(input, input_copy);
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ASSERT_EQUAL(ref, output);
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// inclusive scan with nonzero init
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transform_inclusive_scan_init_kernel<<<1, 1>>>(
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exec,
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input.begin(),
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input.end(),
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output.begin(),
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::cuda::std::negate<T>(),
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3,
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::cuda::std::plus<T>(),
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iter_vec.begin());
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{
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cudaError_t const err = cudaDeviceSynchronize();
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ASSERT_EQUAL(cudaSuccess, err);
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}
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iter = iter_vec[0];
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ref = {2, -1, 1, -3, 2};
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ASSERT_EQUAL(std::size_t(iter - output.begin()), input.size());
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ASSERT_EQUAL(input, input_copy);
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ASSERT_EQUAL(ref, output);
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// exclusive scan with 0 init
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transform_exclusive_scan_kernel<<<1, 1>>>(
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exec,
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input.begin(),
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input.end(),
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output.begin(),
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::cuda::std::negate<T>(),
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0,
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::cuda::std::plus<T>(),
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iter_vec.begin());
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{
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cudaError_t const err = cudaDeviceSynchronize();
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ASSERT_EQUAL(cudaSuccess, err);
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}
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ref = {0, -1, -4, -2, -6};
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ASSERT_EQUAL(std::size_t(iter - output.begin()), input.size());
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ASSERT_EQUAL(input, input_copy);
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ASSERT_EQUAL(ref, output);
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// exclusive scan with nonzero init
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transform_exclusive_scan_kernel<<<1, 1>>>(
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exec,
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input.begin(),
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input.end(),
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output.begin(),
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::cuda::std::negate<T>(),
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3,
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::cuda::std::plus<T>(),
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iter_vec.begin());
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{
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cudaError_t const err = cudaDeviceSynchronize();
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ASSERT_EQUAL(cudaSuccess, err);
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}
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iter = iter_vec[0];
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ref = {3, 2, -1, 1, -3};
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ASSERT_EQUAL(std::size_t(iter - output.begin()), input.size());
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ASSERT_EQUAL(input, input_copy);
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ASSERT_EQUAL(ref, output);
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// inplace inclusive scan
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input = input_copy;
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transform_inclusive_scan_kernel<<<1, 1>>>(
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exec, input.begin(), input.end(), input.begin(), ::cuda::std::negate<T>(), ::cuda::std::plus<T>(), iter_vec.begin());
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{
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cudaError_t const err = cudaDeviceSynchronize();
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ASSERT_EQUAL(cudaSuccess, err);
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}
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iter = iter_vec[0];
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ref = {-1, -4, -2, -6, -1};
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ASSERT_EQUAL(std::size_t(iter - input.begin()), input.size());
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ASSERT_EQUAL(ref, input);
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// inplace inclusive scan with init
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input = input_copy;
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transform_inclusive_scan_init_kernel<<<1, 1>>>(
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exec,
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input.begin(),
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input.end(),
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input.begin(),
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::cuda::std::negate<T>(),
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3,
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::cuda::std::plus<T>(),
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iter_vec.begin());
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{
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cudaError_t const err = cudaDeviceSynchronize();
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ASSERT_EQUAL(cudaSuccess, err);
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}
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iter = iter_vec[0];
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ref = {2, -1, 1, -3, 2};
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ASSERT_EQUAL(std::size_t(iter - input.begin()), input.size());
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ASSERT_EQUAL(ref, input);
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// inplace exclusive scan with init
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input = input_copy;
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transform_exclusive_scan_kernel<<<1, 1>>>(
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exec,
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input.begin(),
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input.end(),
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input.begin(),
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::cuda::std::negate<T>(),
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3,
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::cuda::std::plus<T>(),
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iter_vec.begin());
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{
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cudaError_t const err = cudaDeviceSynchronize();
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ASSERT_EQUAL(cudaSuccess, err);
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}
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iter = iter_vec[0];
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ref = {3, 2, -1, 1, -3};
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ASSERT_EQUAL(std::size_t(iter - input.begin()), input.size());
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ASSERT_EQUAL(ref, input);
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}
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void TestTransformScanDeviceSeq()
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{
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TestTransformScanDevice(thrust::seq);
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}
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DECLARE_UNITTEST(TestTransformScanDeviceSeq);
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void TestTransformScanDeviceDevice()
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{
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TestTransformScanDevice(thrust::device);
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}
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DECLARE_UNITTEST(TestTransformScanDeviceDevice);
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#endif
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void TestTransformScanCudaStreams()
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{
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using Vector = thrust::device_vector<int>;
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using T = Vector::value_type;
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Vector::iterator iter;
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Vector input{1, 3, -2, 4, -5};
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Vector result{-1, -4, -2, -6, -1};
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Vector output(5);
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Vector input_copy(input);
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cudaStream_t s;
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cudaStreamCreate(&s);
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// inclusive scan
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iter = thrust::transform_inclusive_scan(
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thrust::cuda::par.on(s),
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input.begin(),
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input.end(),
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output.begin(),
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::cuda::std::negate<T>(),
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::cuda::std::plus<T>());
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cudaStreamSynchronize(s);
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ASSERT_EQUAL(std::size_t(iter - output.begin()), input.size());
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ASSERT_EQUAL(input, input_copy);
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ASSERT_EQUAL(output, result);
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// inclusive scan with nonzero init
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iter = thrust::transform_inclusive_scan(
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thrust::cuda::par.on(s),
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input.begin(),
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input.end(),
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output.begin(),
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::cuda::std::negate<T>(),
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3,
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::cuda::std::plus<T>());
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cudaStreamSynchronize(s);
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result = {2, -1, 1, -3, 2};
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ASSERT_EQUAL(std::size_t(iter - output.begin()), input.size());
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ASSERT_EQUAL(input, input_copy);
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ASSERT_EQUAL(output, result);
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// exclusive scan with 0 init
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iter = thrust::transform_exclusive_scan(
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thrust::cuda::par.on(s),
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input.begin(),
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input.end(),
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output.begin(),
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::cuda::std::negate<T>(),
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0,
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::cuda::std::plus<T>());
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cudaStreamSynchronize(s);
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result = {0, -1, -4, -2, -6};
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ASSERT_EQUAL(std::size_t(iter - output.begin()), input.size());
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ASSERT_EQUAL(input, input_copy);
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ASSERT_EQUAL(output, result);
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// exclusive scan with nonzero init
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iter = thrust::transform_exclusive_scan(
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thrust::cuda::par.on(s),
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input.begin(),
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input.end(),
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output.begin(),
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::cuda::std::negate<T>(),
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3,
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::cuda::std::plus<T>());
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cudaStreamSynchronize(s);
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result = {3, 2, -1, 1, -3};
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ASSERT_EQUAL(std::size_t(iter - output.begin()), input.size());
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ASSERT_EQUAL(input, input_copy);
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ASSERT_EQUAL(output, result);
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// inplace inclusive scan
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input = input_copy;
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iter = thrust::transform_inclusive_scan(
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thrust::cuda::par.on(s),
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input.begin(),
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input.end(),
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input.begin(),
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::cuda::std::negate<T>(),
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::cuda::std::plus<T>());
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cudaStreamSynchronize(s);
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result = {-1, -4, -2, -6, -1};
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ASSERT_EQUAL(std::size_t(iter - input.begin()), input.size());
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ASSERT_EQUAL(input, result);
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// inplace inclusive scan with init
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input = input_copy;
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iter = thrust::transform_inclusive_scan(
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thrust::cuda::par.on(s),
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input.begin(),
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input.end(),
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input.begin(),
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::cuda::std::negate<T>(),
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3,
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::cuda::std::plus<T>());
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cudaStreamSynchronize(s);
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result = {2, -1, 1, -3, 2};
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ASSERT_EQUAL(std::size_t(iter - input.begin()), input.size());
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ASSERT_EQUAL(input, result);
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// inplace exclusive scan with init
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input = input_copy;
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iter = thrust::transform_exclusive_scan(
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thrust::cuda::par.on(s),
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input.begin(),
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input.end(),
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input.begin(),
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::cuda::std::negate<T>(),
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3,
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::cuda::std::plus<T>());
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cudaStreamSynchronize(s);
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result = {3, 2, -1, 1, -3};
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ASSERT_EQUAL(std::size_t(iter - input.begin()), input.size());
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ASSERT_EQUAL(input, result);
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cudaStreamDestroy(s);
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}
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DECLARE_UNITTEST(TestTransformScanCudaStreams);
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void TestTransformScanConstAccumulator()
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{
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using Vector = thrust::device_vector<int>;
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using T = Vector::value_type;
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Vector::iterator iter;
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Vector input{1, 3, -2, 4, -5};
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Vector reference(5);
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Vector output(5);
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thrust::transform_inclusive_scan(
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input.begin(), input.end(), output.begin(), ::cuda::std::identity{}, ::cuda::std::plus<T>());
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thrust::inclusive_scan(input.begin(), input.end(), reference.begin(), ::cuda::std::plus<T>());
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ASSERT_EQUAL(output, reference);
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}
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DECLARE_UNITTEST(TestTransformScanConstAccumulator);
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