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457 lines
20 KiB
C++
457 lines
20 KiB
C++
/* ************************************************************************
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* Copyright (C) 2018-2026 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_CSRILUSV_HPP
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#define TESTING_CSRILUSV_HPP
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#include "hipsparse.hpp"
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#include "hipsparse_arguments.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 <algorithm>
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#include <cmath>
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#include <hipsparse.h>
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#include <limits>
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#include <string>
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using namespace hipsparse;
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using namespace hipsparse_test;
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template <typename T>
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void testing_csrilusv(Arguments argus)
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{
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#if(!defined(CUDART_VERSION) || CUDART_VERSION < 12000)
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hipsparseIndexBase_t idx_base = argus.baseA;
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std::string filename = argus.filename;
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std::unique_ptr<handle_struct> unique_ptr_handle(new handle_struct);
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hipsparseHandle_t handle = unique_ptr_handle->handle;
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std::unique_ptr<descr_struct> unique_ptr_descr_M(new descr_struct);
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hipsparseMatDescr_t descr_M = unique_ptr_descr_M->descr;
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std::unique_ptr<csrilu02_struct> unique_ptr_csrilu02_info(new csrilu02_struct);
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csrilu02Info_t info_M = unique_ptr_csrilu02_info->info;
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// Initialize the matrix descriptor
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CHECK_HIPSPARSE_ERROR(hipsparseSetMatIndexBase(descr_M, idx_base));
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// Host structures
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std::vector<int> hcsr_row_ptr;
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std::vector<int> hcsr_col_ind;
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std::vector<T> hcsr_val;
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// Initial Data on CPU
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int m;
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int n;
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int nnz;
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CHECK_GENERATE_MATRIX_ERROR(
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generate_csr_matrix(filename, m, n, nnz, hcsr_row_ptr, hcsr_col_ind, hcsr_val, idx_base));
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// Allocate memory on device
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auto dptr_managed = hipsparse_unique_ptr{device_malloc(sizeof(int) * (m + 1)), device_free};
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auto dcol_managed = hipsparse_unique_ptr{device_malloc(sizeof(int) * nnz), device_free};
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auto dval_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * nnz), device_free};
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auto d_position_managed = hipsparse_unique_ptr{device_malloc(sizeof(int)), device_free};
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int* dptr = (int*)dptr_managed.get();
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int* dcol = (int*)dcol_managed.get();
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T* dval = (T*)dval_managed.get();
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int* d_position = (int*)d_position_managed.get();
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// copy data from CPU to device
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CHECK_HIP_ERROR(
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hipMemcpy(dptr, hcsr_row_ptr.data(), sizeof(int) * (m + 1), hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dcol, hcsr_col_ind.data(), sizeof(int) * nnz, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dval, hcsr_val.data(), sizeof(T) * nnz, hipMemcpyHostToDevice));
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// Obtain csrilu02 buffer size
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int size;
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CHECK_HIPSPARSE_ERROR(
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hipsparseXcsrilu02_bufferSize(handle, m, nnz, descr_M, dval, dptr, dcol, info_M, &size));
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// Allocate buffer on the device
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auto dbuffer_managed = hipsparse_unique_ptr{device_malloc(sizeof(char) * size), device_free};
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void* dbuffer = (void*)dbuffer_managed.get();
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// csrilu02 analysis
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CHECK_HIPSPARSE_ERROR(hipsparseXcsrilu02_analysis(handle,
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m,
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nnz,
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descr_M,
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dval,
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dptr,
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dcol,
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info_M,
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HIPSPARSE_SOLVE_POLICY_USE_LEVEL,
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dbuffer));
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// Compute incomplete LU factorization
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CHECK_HIPSPARSE_ERROR(hipsparseXcsrilu02(handle,
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m,
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nnz,
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descr_M,
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dval,
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dptr,
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dcol,
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info_M,
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HIPSPARSE_SOLVE_POLICY_USE_LEVEL,
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dbuffer));
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// Check for zero pivot
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int hposition_1, hposition_2;
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hipsparseStatus_t pivot_status_1, pivot_status_2;
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// Host pointer mode
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CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_HOST));
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pivot_status_1 = hipsparseXcsrilu02_zeroPivot(handle, info_M, &hposition_1);
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// device pointer mode
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CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_DEVICE));
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pivot_status_2 = hipsparseXcsrilu02_zeroPivot(handle, info_M, d_position);
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// Copy output to CPU
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std::vector<T> iluresult(nnz);
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CHECK_HIP_ERROR(hipMemcpy(iluresult.data(), dval, sizeof(T) * nnz, hipMemcpyDeviceToHost));
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CHECK_HIP_ERROR(hipMemcpy(&hposition_2, d_position, sizeof(int), hipMemcpyDeviceToHost));
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// Compute host reference csrilu0
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int position_gold = host_csrilu0(m,
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hcsr_row_ptr.data(),
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hcsr_col_ind.data(),
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hcsr_val.data(),
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idx_base,
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false,
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0.0,
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make_DataType<T>(0.0, 0.0));
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// Check zero pivot results
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unit_check_general(1, 1, 1, &position_gold, &hposition_1);
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unit_check_general(1, 1, 1, &position_gold, &hposition_2);
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// If zero pivot was found, do not go further
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if(hposition_1 != -1)
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{
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verify_hipsparse_status_zero_pivot(pivot_status_1, "expected HIPSPARSE_STATUS_ZERO_PIVOT");
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return;
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}
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if(hposition_2 != -1)
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{
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verify_hipsparse_status_zero_pivot(pivot_status_2, "expected HIPSPARSE_STATUS_ZERO_PIVOT");
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return;
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}
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// Check csrilu0 factorization
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#if defined(__HIP_PLATFORM_AMD__)
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unit_check_general(1, nnz, 1, hcsr_val.data(), iluresult.data());
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#elif defined(__HIP_PLATFORM_NVIDIA__)
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unit_check_near(1, nnz, 1, hcsr_val.data(), iluresult.data());
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#endif
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// Create info structs for lower and upper part
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std::unique_ptr<csrsv2_struct> unique_ptr_csrsv2_lower(new csrsv2_struct);
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std::unique_ptr<csrsv2_struct> unique_ptr_csrsv2_upper(new csrsv2_struct);
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csrsv2Info_t info_L = unique_ptr_csrsv2_lower->info;
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csrsv2Info_t info_U = unique_ptr_csrsv2_upper->info;
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// Create matrix descriptors for csrsv
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std::unique_ptr<descr_struct> unique_ptr_descr_L(new descr_struct);
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hipsparseMatDescr_t descr_L = unique_ptr_descr_L->descr;
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CHECK_HIPSPARSE_ERROR(hipsparseSetMatIndexBase(descr_L, idx_base));
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CHECK_HIPSPARSE_ERROR(hipsparseSetMatFillMode(descr_L, HIPSPARSE_FILL_MODE_LOWER));
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CHECK_HIPSPARSE_ERROR(hipsparseSetMatDiagType(descr_L, HIPSPARSE_DIAG_TYPE_UNIT));
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std::unique_ptr<descr_struct> unique_ptr_descr_U(new descr_struct);
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hipsparseMatDescr_t descr_U = unique_ptr_descr_U->descr;
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CHECK_HIPSPARSE_ERROR(hipsparseSetMatIndexBase(descr_U, idx_base));
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CHECK_HIPSPARSE_ERROR(hipsparseSetMatFillMode(descr_U, HIPSPARSE_FILL_MODE_UPPER));
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CHECK_HIPSPARSE_ERROR(hipsparseSetMatDiagType(descr_U, HIPSPARSE_DIAG_TYPE_NON_UNIT));
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// Obtain csrsv buffer sizes
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int size_lower, size_upper;
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CHECK_HIPSPARSE_ERROR(hipsparseXcsrsv2_bufferSize(handle,
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HIPSPARSE_OPERATION_NON_TRANSPOSE,
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m,
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nnz,
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descr_L,
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dval,
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dptr,
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dcol,
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info_L,
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&size_lower));
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CHECK_HIPSPARSE_ERROR(hipsparseXcsrsv2_bufferSize(handle,
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HIPSPARSE_OPERATION_NON_TRANSPOSE,
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m,
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nnz,
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descr_U,
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dval,
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dptr,
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dcol,
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info_U,
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&size_upper));
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// Pick maximum size so that we need only one buffer
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size = std::max(size_lower, size_upper);
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// Allocate buffer on the device
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auto dbuffer_sv_managed = hipsparse_unique_ptr{device_malloc(sizeof(char) * size), device_free};
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void* dbuffer_sv = (void*)dbuffer_sv_managed.get();
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// csrsv analysis
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CHECK_HIPSPARSE_ERROR(hipsparseXcsrsv2_analysis(handle,
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HIPSPARSE_OPERATION_NON_TRANSPOSE,
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m,
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nnz,
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descr_L,
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dval,
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dptr,
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dcol,
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info_L,
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HIPSPARSE_SOLVE_POLICY_USE_LEVEL,
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dbuffer_sv));
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CHECK_HIPSPARSE_ERROR(hipsparseXcsrsv2_analysis(handle,
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HIPSPARSE_OPERATION_NON_TRANSPOSE,
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m,
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nnz,
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descr_U,
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dval,
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dptr,
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dcol,
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info_U,
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HIPSPARSE_SOLVE_POLICY_USE_LEVEL,
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dbuffer_sv));
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// Initialize some more structures required for Lz = x
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T h_alpha = static_cast<T>(1);
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std::vector<T> hx(m, static_cast<T>(1));
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std::vector<T> hy_gold(m);
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std::vector<T> hz_gold(m);
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// Allocate device memory
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auto dx_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * m), device_free};
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auto dy_1_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * m), device_free};
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auto dy_2_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * m), device_free};
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auto dz_1_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * m), device_free};
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auto dz_2_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * m), device_free};
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auto d_alpha_managed = hipsparse_unique_ptr{device_malloc(sizeof(T)), device_free};
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T* dx = (T*)dx_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* dz_1 = (T*)dz_1_managed.get();
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T* dz_2 = (T*)dz_2_managed.get();
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T* d_alpha = (T*)d_alpha_managed.get();
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// Copy data from CPU to device
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CHECK_HIP_ERROR(hipMemcpy(dx, hx.data(), sizeof(T) * m, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(d_alpha, &h_alpha, sizeof(T), hipMemcpyHostToDevice));
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// Solve Lz = x
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// host pointer mode
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CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_HOST));
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CHECK_HIPSPARSE_ERROR(hipsparseXcsrsv2_solve(handle,
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HIPSPARSE_OPERATION_NON_TRANSPOSE,
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m,
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nnz,
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&h_alpha,
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descr_L,
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dval,
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dptr,
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dcol,
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info_L,
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dx,
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dz_1,
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HIPSPARSE_SOLVE_POLICY_USE_LEVEL,
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dbuffer_sv));
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// Check for zero pivot
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pivot_status_1 = hipsparseXcsrsv2_zeroPivot(handle, info_L, &hposition_1);
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// device pointer mode
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CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_DEVICE));
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CHECK_HIPSPARSE_ERROR(hipsparseXcsrsv2_solve(handle,
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HIPSPARSE_OPERATION_NON_TRANSPOSE,
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m,
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nnz,
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d_alpha,
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descr_L,
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dval,
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dptr,
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dcol,
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info_L,
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dx,
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dz_2,
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HIPSPARSE_SOLVE_POLICY_USE_LEVEL,
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dbuffer_sv));
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// Check for zero pivot
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pivot_status_2 = hipsparseXcsrsv2_zeroPivot(handle, info_L, d_position);
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// Host csrsv
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hipDeviceProp_t prop{};
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CHECK_HIP_ERROR(hipGetDeviceProperties(&prop, 0));
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position_gold = csr_lsolve(HIPSPARSE_OPERATION_NON_TRANSPOSE,
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m,
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hcsr_row_ptr.data(),
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hcsr_col_ind.data(),
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hcsr_val.data(),
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h_alpha,
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hx.data(),
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hz_gold.data(),
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idx_base,
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HIPSPARSE_DIAG_TYPE_UNIT,
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prop.warpSize);
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// Check zero pivot results
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unit_check_general(1, 1, 1, &position_gold, &hposition_1);
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unit_check_general(1, 1, 1, &position_gold, &hposition_2);
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// If zero pivot was found, do not go further
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if(hposition_1 != -1)
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{
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verify_hipsparse_status_zero_pivot(pivot_status_1, "expected HIPSPARSE_STATUS_ZERO_PIVOT");
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return;
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}
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if(hposition_2 != -1)
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{
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verify_hipsparse_status_zero_pivot(pivot_status_2, "expected HIPSPARSE_STATUS_ZERO_PIVOT");
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return;
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}
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// Copy output from device to CPU
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std::vector<T> hz_1(m);
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std::vector<T> hz_2(m);
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CHECK_HIP_ERROR(hipMemcpy(hz_1.data(), dz_1, sizeof(T) * m, hipMemcpyDeviceToHost));
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CHECK_HIP_ERROR(hipMemcpy(hz_2.data(), dz_2, sizeof(T) * m, hipMemcpyDeviceToHost));
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// Check z
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#if defined(__HIP_PLATFORM_AMD__)
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unit_check_general(1, m, 1, hz_gold.data(), hz_1.data());
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unit_check_general(1, m, 1, hz_gold.data(), hz_2.data());
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#elif defined(__HIP_PLATFORM_NVIDIA__)
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unit_check_near(1, m, 1, hz_gold.data(), hz_1.data());
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unit_check_near(1, m, 1, hz_gold.data(), hz_2.data());
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#endif
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// Solve Uy = z
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// host pointer mode
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CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_HOST));
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CHECK_HIPSPARSE_ERROR(hipsparseXcsrsv2_solve(handle,
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HIPSPARSE_OPERATION_NON_TRANSPOSE,
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m,
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nnz,
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&h_alpha,
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descr_U,
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dval,
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dptr,
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dcol,
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info_U,
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dz_1,
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dy_1,
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HIPSPARSE_SOLVE_POLICY_USE_LEVEL,
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dbuffer_sv));
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// Check for zero pivot
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pivot_status_1 = hipsparseXcsrsv2_zeroPivot(handle, info_U, &hposition_1);
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// device pointer mode
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CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_DEVICE));
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CHECK_HIPSPARSE_ERROR(hipsparseXcsrsv2_solve(handle,
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HIPSPARSE_OPERATION_NON_TRANSPOSE,
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m,
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nnz,
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d_alpha,
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descr_U,
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dval,
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dptr,
|
|
dcol,
|
|
info_U,
|
|
dz_2,
|
|
dy_2,
|
|
HIPSPARSE_SOLVE_POLICY_USE_LEVEL,
|
|
dbuffer_sv));
|
|
|
|
// Check for zero pivot
|
|
pivot_status_2 = hipsparseXcsrsv2_zeroPivot(handle, info_U, d_position);
|
|
|
|
// Host csrsv
|
|
position_gold = csr_usolve(HIPSPARSE_OPERATION_NON_TRANSPOSE,
|
|
m,
|
|
hcsr_row_ptr.data(),
|
|
hcsr_col_ind.data(),
|
|
hcsr_val.data(),
|
|
h_alpha,
|
|
hz_gold.data(),
|
|
hy_gold.data(),
|
|
idx_base,
|
|
HIPSPARSE_DIAG_TYPE_NON_UNIT,
|
|
prop.warpSize);
|
|
|
|
// Check zero pivot results
|
|
unit_check_general(1, 1, 1, &position_gold, &hposition_1);
|
|
unit_check_general(1, 1, 1, &position_gold, &hposition_2);
|
|
|
|
// If zero pivot was found, do not go further
|
|
if(hposition_1 != -1)
|
|
{
|
|
verify_hipsparse_status_zero_pivot(pivot_status_1, "expected HIPSPARSE_STATUS_ZERO_PIVOT");
|
|
return;
|
|
}
|
|
|
|
if(hposition_2 != -1)
|
|
{
|
|
verify_hipsparse_status_zero_pivot(pivot_status_2, "expected HIPSPARSE_STATUS_ZERO_PIVOT");
|
|
return;
|
|
}
|
|
|
|
// Copy output from device to CPU
|
|
std::vector<T> hy_1(m);
|
|
std::vector<T> hy_2(m);
|
|
|
|
CHECK_HIP_ERROR(hipMemcpy(hy_1.data(), dy_1, sizeof(T) * m, hipMemcpyDeviceToHost));
|
|
CHECK_HIP_ERROR(hipMemcpy(hy_2.data(), dy_2, sizeof(T) * m, hipMemcpyDeviceToHost));
|
|
|
|
// Check z
|
|
unit_check_near(1, m, 1, hy_gold.data(), hy_1.data());
|
|
unit_check_near(1, m, 1, hy_gold.data(), hy_2.data());
|
|
#endif
|
|
}
|
|
|
|
#endif // TESTING_CSRILUSOLVE_HPP
|