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214 lines
7.8 KiB
C++
214 lines
7.8 KiB
C++
/* ************************************************************************
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* Copyright (C) 2020-2026 Advanced Micro Devices, Inc. All rights Reserved.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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* THE SOFTWARE.
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*
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* ************************************************************************ */
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#pragma once
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#ifndef TESTING_AXPBY_HPP
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#define TESTING_AXPBY_HPP
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#include "display.hpp"
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#include "flops.hpp"
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#include "gbyte.hpp"
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#include "hipsparse_arguments.hpp"
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#include "hipsparse_graph.hpp"
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#include "hipsparse_test_unique_ptr.hpp"
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#include "unit.hpp"
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#include "utility.hpp"
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#include <hipsparse.h>
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using namespace hipsparse_test;
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template <typename I, typename X, typename Y, typename T>
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void testing_axpby_bad_arg(const Arguments& argus)
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{
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#if(!defined(CUDART_VERSION) || CUDART_VERSION >= 11000)
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int64_t size = 100;
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int64_t nnz = 100;
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T alpha = make_DataType<T>(3.7);
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T beta = make_DataType<T>(1.2);
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hipsparseIndexType_t idxType = getIndexType<I>();
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hipsparseIndexBase_t idxBase = HIPSPARSE_INDEX_BASE_ZERO;
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hipDataType xType = getDataType<X>();
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hipDataType yType = getDataType<Y>();
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hipsparseLocalHandle_t handle;
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auto dx_val_managed = hipsparse_unique_ptr{device_malloc(sizeof(X) * nnz), device_free};
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auto dx_ind_managed = hipsparse_unique_ptr{device_malloc(sizeof(I) * nnz), device_free};
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auto dy_managed = hipsparse_unique_ptr{device_malloc(sizeof(Y) * size), device_free};
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X* dx_val = (X*)dx_val_managed.get();
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I* dx_ind = (I*)dx_ind_managed.get();
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Y* dy = (Y*)dy_managed.get();
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// Structures
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hipsparseSpVecDescr_t x;
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hipsparseDnVecDescr_t y;
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verify_hipsparse_status_success(
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hipsparseCreateSpVec(&x, size, nnz, dx_ind, dx_val, idxType, idxBase, xType), "Success");
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verify_hipsparse_status_success(hipsparseCreateDnVec(&y, size, dy, yType), "Success");
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// Axpby
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verify_hipsparse_status_invalid_handle(hipsparseAxpby(nullptr, &alpha, x, &beta, y));
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verify_hipsparse_status_invalid_pointer(hipsparseAxpby(handle, nullptr, x, &beta, y),
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"Error: alpha is nullptr");
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verify_hipsparse_status_invalid_pointer(hipsparseAxpby(handle, &alpha, nullptr, &beta, y),
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"Error: x is nullptr");
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verify_hipsparse_status_invalid_pointer(hipsparseAxpby(handle, &alpha, x, nullptr, y),
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"Error: beta is nullptr");
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verify_hipsparse_status_invalid_pointer(hipsparseAxpby(handle, &alpha, x, &beta, nullptr),
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"Error: y is nullptr");
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// Destruct
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verify_hipsparse_status_success(hipsparseDestroySpVec(x), "Success");
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verify_hipsparse_status_success(hipsparseDestroyDnVec(y), "Success");
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#endif
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}
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template <typename I, typename X, typename Y, typename T>
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void testing_axpby(Arguments argus)
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{
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#if(!defined(CUDART_VERSION) || CUDART_VERSION >= 11000)
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I size = argus.N;
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I nnz = argus.nnz;
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T alpha = argus.get_alpha<T>();
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T beta = argus.get_beta<T>();
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hipsparseIndexBase_t idxBase = argus.baseA;
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// Index and data types
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hipsparseIndexType_t idxType = getIndexType<I>();
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hipDataType xType = getDataType<X>();
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hipDataType yType = getDataType<Y>();
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// hipSPARSE handle
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hipsparseLocalHandle_t handle(argus);
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// Host structures
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std::vector<I> hx_ind(nnz);
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std::vector<X> hx_val(nnz);
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std::vector<Y> hy(size);
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std::vector<Y> hy_gold(size);
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// Initial Data on CPU
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srand(12345ULL);
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hipsparseInitIndex(hx_ind.data(), nnz, idxBase, size + idxBase);
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hipsparseInit<X>(hx_val, 1, nnz);
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hipsparseInit<Y>(hy, 1, size);
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hy_gold = hy;
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// Allocate memory on device
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auto dx_ind_managed = hipsparse_unique_ptr{device_malloc(sizeof(I) * nnz), device_free};
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auto dx_val_managed = hipsparse_unique_ptr{device_malloc(sizeof(X) * nnz), device_free};
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auto dy_managed = hipsparse_unique_ptr{device_malloc(sizeof(Y) * size), device_free};
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I* dx_ind = (I*)dx_ind_managed.get();
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X* dx_val = (X*)dx_val_managed.get();
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Y* dy = (Y*)dy_managed.get();
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// copy data from CPU to device
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CHECK_HIP_ERROR(hipMemcpy(dx_ind, hx_ind.data(), sizeof(I) * nnz, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dx_val, hx_val.data(), sizeof(X) * nnz, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dy, hy.data(), sizeof(Y) * size, hipMemcpyHostToDevice));
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// Create structures
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hipsparseSpVecDescr_t x;
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hipsparseDnVecDescr_t y;
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CHECK_HIPSPARSE_ERROR(
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hipsparseCreateSpVec(&x, size, nnz, dx_ind, dx_val, idxType, idxBase, xType));
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CHECK_HIPSPARSE_ERROR(hipsparseCreateDnVec(&y, size, dy, yType));
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if(argus.unit_check)
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{
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// Axpby
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CHECK_HIPSPARSE_ERROR(testing::hipsparseAxpby(handle, &alpha, x, &beta, y));
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// Copy output from device to CPU
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CHECK_HIP_ERROR(hipMemcpy(hy.data(), dy, sizeof(Y) * size, hipMemcpyDeviceToHost));
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// CPU
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host_axpby<I, X, Y, T>(
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size, nnz, alpha, hx_val.data(), hx_ind.data(), beta, hy_gold.data(), idxBase);
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// Verify results against host
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unit_check_general(1, size, 1, hy_gold.data(), hy.data());
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}
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if(argus.timing)
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{
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int number_cold_calls = 2;
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int number_hot_calls = argus.iters;
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// Warm up
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for(int iter = 0; iter < number_cold_calls; ++iter)
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{
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CHECK_HIPSPARSE_ERROR(testing::hipsparseAxpby(handle, &alpha, x, &beta, y));
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}
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double gpu_time_used = get_time_us();
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// Performance run
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for(int iter = 0; iter < number_hot_calls; ++iter)
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{
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CHECK_HIPSPARSE_ERROR(testing::hipsparseAxpby(handle, &alpha, x, &beta, y));
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}
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gpu_time_used = (get_time_us() - gpu_time_used) / number_hot_calls;
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double gflop_count = axpby_gflop_count(nnz);
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double gbyte_count = axpby_gbyte_count<X, Y>(nnz, size);
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double gpu_gbyte = get_gpu_gbyte(gpu_time_used, gbyte_count);
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double gpu_gflops = get_gpu_gflops(gpu_time_used, gflop_count);
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display_timing_info(display_key_t::size,
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size,
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display_key_t::nnz,
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nnz,
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display_key_t::alpha,
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alpha,
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display_key_t::beta,
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beta,
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display_key_t::gflops,
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gpu_gflops,
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display_key_t::bandwidth,
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gpu_gbyte,
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display_key_t::time_ms,
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get_gpu_time_msec(gpu_time_used));
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}
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CHECK_HIPSPARSE_ERROR(hipsparseDestroySpVec(x));
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CHECK_HIPSPARSE_ERROR(hipsparseDestroyDnVec(y));
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#endif
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}
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#endif // TESTING_AXPBY_HPP
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