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