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243 lines
9.9 KiB
C++
243 lines
9.9 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_ROT_HPP
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#define TESTING_ROT_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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#include <typeinfo>
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using namespace hipsparse_test;
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template <typename I, typename T>
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void testing_rot_bad_arg(const Arguments& argus)
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{
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#if(!defined(CUDART_VERSION) || (CUDART_VERSION >= 11000 && CUDART_VERSION < 14000))
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int64_t size = 100;
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int64_t nnz = 100;
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float c_coeff = 3.7;
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float s_coeff = 1.2;
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hipsparseIndexType_t idxType = HIPSPARSE_INDEX_32I;
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hipsparseIndexBase_t idxBase = HIPSPARSE_INDEX_BASE_ZERO;
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hipDataType dataType = HIP_R_32F;
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hipsparseLocalHandle_t handle;
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auto dx_val_managed = hipsparse_unique_ptr{device_malloc(sizeof(float) * nnz), device_free};
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auto dx_ind_managed = hipsparse_unique_ptr{device_malloc(sizeof(int) * nnz), device_free};
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auto dy_managed = hipsparse_unique_ptr{device_malloc(sizeof(float) * size), device_free};
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float* dx_val = (float*)dx_val_managed.get();
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int* dx_ind = (int*)dx_ind_managed.get();
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float* dy = (float*)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, dataType), "Success");
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verify_hipsparse_status_success(hipsparseCreateDnVec(&y, size, dy, dataType), "Success");
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// Rot
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verify_hipsparse_status_invalid_handle(hipsparseRot(nullptr, &c_coeff, &s_coeff, x, y));
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verify_hipsparse_status_invalid_pointer(hipsparseRot(handle, nullptr, &s_coeff, x, y),
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"Error: c_coeff is nullptr");
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verify_hipsparse_status_invalid_pointer(hipsparseRot(handle, &c_coeff, nullptr, x, y),
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"Error: s_coeff is nullptr");
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verify_hipsparse_status_invalid_pointer(hipsparseRot(handle, &c_coeff, &s_coeff, nullptr, y),
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"Error: x is nullptr");
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verify_hipsparse_status_invalid_pointer(hipsparseRot(handle, &c_coeff, &s_coeff, x, 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 T>
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void testing_rot(Arguments argus)
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{
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#if(!defined(CUDART_VERSION) || (CUDART_VERSION >= 11000 && CUDART_VERSION < 14000))
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I size = argus.N;
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I nnz = argus.nnz;
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T hc_coeff = make_DataType<T>(argus.c);
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T hs_coeff = make_DataType<T>(argus.s);
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hipsparseIndexBase_t idxBase = argus.baseA;
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// Index and data type
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hipsparseIndexType_t idxType = getIndexType<I>();
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hipDataType dataType = getDataType<T>();
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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<T> hx_val_1(nnz);
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std::vector<T> hx_val_2(nnz);
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std::vector<T> hx_val_gold(nnz);
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std::vector<T> hy_1(size);
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std::vector<T> hy_2(size);
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std::vector<T> 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<T>(hx_val_1, 1, nnz);
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hipsparseInit<T>(hy_1, 1, size);
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hx_val_2 = hx_val_1;
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hx_val_gold = hx_val_1;
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hy_2 = hy_1;
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hy_gold = hy_1;
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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_1_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * nnz), device_free};
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auto dx_val_2_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * nnz), device_free};
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auto dy_1_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * size), device_free};
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auto dy_2_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * size), device_free};
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auto dc_coeff_managed = hipsparse_unique_ptr{device_malloc(sizeof(T)), device_free};
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auto ds_coeff_managed = hipsparse_unique_ptr{device_malloc(sizeof(T)), device_free};
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I* dx_ind = (I*)dx_ind_managed.get();
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T* dx_val_1 = (T*)dx_val_1_managed.get();
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T* dx_val_2 = (T*)dx_val_2_managed.get();
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T* dy_1 = (T*)dy_1_managed.get();
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T* dy_2 = (T*)dy_2_managed.get();
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T* dc_coeff = (T*)dc_coeff_managed.get();
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T* ds_coeff = (T*)ds_coeff_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_1, hx_val_1.data(), sizeof(T) * nnz, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dx_val_2, hx_val_2.data(), sizeof(T) * nnz, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dy_1, hy_1.data(), sizeof(T) * size, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dy_2, hy_2.data(), sizeof(T) * size, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dc_coeff, &hc_coeff, sizeof(T), hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(ds_coeff, &hs_coeff, sizeof(T), hipMemcpyHostToDevice));
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// Create structures
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hipsparseSpVecDescr_t x1, x2;
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hipsparseDnVecDescr_t y1, y2;
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CHECK_HIPSPARSE_ERROR(
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hipsparseCreateSpVec(&x1, size, nnz, dx_ind, dx_val_1, idxType, idxBase, dataType));
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CHECK_HIPSPARSE_ERROR(
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hipsparseCreateSpVec(&x2, size, nnz, dx_ind, dx_val_2, idxType, idxBase, dataType));
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CHECK_HIPSPARSE_ERROR(hipsparseCreateDnVec(&y1, size, dy_1, dataType));
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CHECK_HIPSPARSE_ERROR(hipsparseCreateDnVec(&y2, size, dy_2, dataType));
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if(argus.unit_check)
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{
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// hipSPARSE pointer mode host
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CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_HOST));
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CHECK_HIPSPARSE_ERROR(testing::hipsparseRot(handle, &hc_coeff, &hs_coeff, x1, y1));
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// hipSPARSE pointer mode device
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CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_DEVICE));
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CHECK_HIPSPARSE_ERROR(testing::hipsparseRot(handle, dc_coeff, ds_coeff, x2, y2));
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// Copy output from device to CPU
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CHECK_HIP_ERROR(
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hipMemcpy(hx_val_1.data(), dx_val_1, sizeof(T) * nnz, hipMemcpyDeviceToHost));
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CHECK_HIP_ERROR(
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hipMemcpy(hx_val_2.data(), dx_val_2, sizeof(T) * nnz, hipMemcpyDeviceToHost));
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CHECK_HIP_ERROR(hipMemcpy(hy_1.data(), dy_1, sizeof(T) * size, hipMemcpyDeviceToHost));
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CHECK_HIP_ERROR(hipMemcpy(hy_2.data(), dy_2, sizeof(T) * size, hipMemcpyDeviceToHost));
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// CPU
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host_rot(
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nnz, hx_val_gold.data(), hx_ind.data(), hy_gold.data(), hc_coeff, hs_coeff, idxBase);
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// Verify results against host
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unit_check_general(1, nnz, 1, hx_val_gold.data(), hx_val_1.data());
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unit_check_general(1, nnz, 1, hx_val_gold.data(), hx_val_2.data());
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unit_check_general(1, size, 1, hy_gold.data(), hy_1.data());
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unit_check_general(1, size, 1, hy_gold.data(), hy_2.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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CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_HOST));
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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::hipsparseRot(handle, &hc_coeff, &hs_coeff, x1, y1));
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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::hipsparseRot(handle, &hc_coeff, &hs_coeff, x1, y1));
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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 = roti_gflop_count<I>(nnz);
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double gbyte_count = roti_gbyte_count<T>(nnz);
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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::nnz,
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nnz,
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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(x1));
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CHECK_HIPSPARSE_ERROR(hipsparseDestroySpVec(x2));
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CHECK_HIPSPARSE_ERROR(hipsparseDestroyDnVec(y1));
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CHECK_HIPSPARSE_ERROR(hipsparseDestroyDnVec(y2));
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#endif
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}
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#endif // TESTING_ROT_HPP
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