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412 lines
17 KiB
C++
412 lines
17 KiB
C++
/* ************************************************************************
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* Copyright (C) 2018-2025 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_CSR2HYB_HPP
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#define TESTING_CSR2HYB_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.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 <hipsparse.h>
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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_csr2hyb_bad_arg(const Arguments& argus)
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{
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#if(!defined(CUDART_VERSION) || CUDART_VERSION < 11000)
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int m = 100;
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int n = 100;
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int safe_size = 100;
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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(new descr_struct);
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hipsparseMatDescr_t descr = unique_ptr_descr->descr;
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std::unique_ptr<hyb_struct> unique_ptr_hyb(new hyb_struct);
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hipsparseHybMat_t hyb = unique_ptr_hyb->hyb;
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auto csr_row_ptr_managed
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= hipsparse_unique_ptr{device_malloc(sizeof(int) * safe_size), device_free};
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auto csr_col_ind_managed
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= hipsparse_unique_ptr{device_malloc(sizeof(int) * safe_size), device_free};
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auto csr_val_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * safe_size), device_free};
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int* csr_row_ptr = (int*)csr_row_ptr_managed.get();
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int* csr_col_ind = (int*)csr_col_ind_managed.get();
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T* csr_val = (T*)csr_val_managed.get();
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verify_hipsparse_status_invalid_pointer(hipsparseXcsr2hyb(handle,
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m,
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n,
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descr,
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csr_val,
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(int*)nullptr,
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csr_col_ind,
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hyb,
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0,
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HIPSPARSE_HYB_PARTITION_AUTO),
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"Error: csr_row_ptr is nullptr");
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verify_hipsparse_status_invalid_pointer(hipsparseXcsr2hyb(handle,
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m,
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n,
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descr,
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csr_val,
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csr_row_ptr,
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(int*)nullptr,
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hyb,
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0,
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HIPSPARSE_HYB_PARTITION_AUTO),
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"Error: csr_col_ind is nullptr");
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verify_hipsparse_status_invalid_pointer(hipsparseXcsr2hyb(handle,
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m,
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n,
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descr,
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(T*)nullptr,
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csr_row_ptr,
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csr_col_ind,
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hyb,
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0,
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HIPSPARSE_HYB_PARTITION_AUTO),
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"Error: csr_val is nullptr");
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verify_hipsparse_status_invalid_handle(hipsparseXcsr2hyb((hipsparseHandle_t) nullptr,
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m,
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n,
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descr,
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csr_val,
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csr_row_ptr,
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csr_col_ind,
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hyb,
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0,
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HIPSPARSE_HYB_PARTITION_AUTO));
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#endif
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}
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template <typename T>
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void testing_csr2hyb(Arguments argus)
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{
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#if(!defined(CUDART_VERSION) || CUDART_VERSION < 11000)
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int m = argus.M;
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int n = argus.N;
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hipsparseIndexBase_t idx_base = argus.baseA;
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hipsparseHybPartition_t part = argus.part;
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int user_ell_width = argus.ell_width;
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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(new descr_struct);
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hipsparseMatDescr_t descr = unique_ptr_descr->descr;
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// Set matrix index base
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CHECK_HIPSPARSE_ERROR(hipsparseSetMatIndexBase(descr, idx_base));
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std::unique_ptr<hyb_struct> unique_ptr_hyb(new hyb_struct);
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hipsparseHybMat_t hyb = unique_ptr_hyb->hyb;
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srand(12345ULL);
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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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// Read or construct CSR matrix
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int nnz = 0;
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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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if(m == 0 || n == 0)
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{
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return;
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}
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// Allocate memory on the device
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auto dcsr_row_ptr_managed
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= hipsparse_unique_ptr{device_malloc(sizeof(int) * (m + 1)), device_free};
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auto dcsr_col_ind_managed = hipsparse_unique_ptr{device_malloc(sizeof(int) * nnz), device_free};
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auto dcsr_val_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * nnz), device_free};
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int* dcsr_row_ptr = (int*)dcsr_row_ptr_managed.get();
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int* dcsr_col_ind = (int*)dcsr_col_ind_managed.get();
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T* dcsr_val = (T*)dcsr_val_managed.get();
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// Copy data from host to device
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CHECK_HIP_ERROR(
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hipMemcpy(dcsr_row_ptr, hcsr_row_ptr.data(), sizeof(int) * (m + 1), hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(
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hipMemcpy(dcsr_col_ind, hcsr_col_ind.data(), sizeof(int) * nnz, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dcsr_val, hcsr_val.data(), sizeof(T) * nnz, hipMemcpyHostToDevice));
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// User given ELL width check
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hipsparseStatus_t status;
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if(part == HIPSPARSE_HYB_PARTITION_USER)
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{
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// ELL width -33 means we take a reasonable pre-computed width
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if(user_ell_width == -33)
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{
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user_ell_width = nnz / m;
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}
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// Test invalid user_ell_width
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int max_allowed_ell_nnz_per_row = (2 * nnz - 1) / m + 1;
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if(user_ell_width < 0 || user_ell_width > max_allowed_ell_nnz_per_row)
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{
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status = hipsparseXcsr2hyb(handle,
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m,
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n,
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descr,
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dcsr_val,
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dcsr_row_ptr,
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dcsr_col_ind,
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hyb,
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user_ell_width,
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part);
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verify_hipsparse_status_invalid_value(
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status, "Error: user_ell_width < 0 || user_ell_width > max_ell_width");
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return;
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}
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}
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// Max width check
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if(part == HIPSPARSE_HYB_PARTITION_MAX)
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{
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// Compute max ELL width
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int ell_max_width = 0;
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for(int i = 0; i < m; ++i)
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{
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ell_max_width = std::max(hcsr_row_ptr[i + 1] - hcsr_row_ptr[i], ell_max_width);
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}
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int width_limit = (2 * nnz - 1) / m + 1;
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if(ell_max_width > width_limit)
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{
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status = hipsparseXcsr2hyb(handle,
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m,
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n,
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descr,
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dcsr_val,
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dcsr_row_ptr,
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dcsr_col_ind,
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hyb,
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user_ell_width,
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part);
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verify_hipsparse_status_invalid_value(status, "ell_max_width > width_limit");
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return;
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}
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}
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// Host structures for verification
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std::vector<int> hhyb_ell_col_ind_gold;
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std::vector<T> hhyb_ell_val_gold;
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std::vector<int> hhyb_coo_row_ind_gold;
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std::vector<int> hhyb_coo_col_ind_gold;
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std::vector<T> hhyb_coo_val_gold;
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// Host csr2hyb conversion
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int ell_width = 0;
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int ell_nnz = 0;
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int coo_nnz = 0;
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if(part == HIPSPARSE_HYB_PARTITION_AUTO || part == HIPSPARSE_HYB_PARTITION_USER)
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{
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if(part == HIPSPARSE_HYB_PARTITION_AUTO)
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{
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// ELL width is average nnz per row
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ell_width = (nnz - 1) / m + 1;
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}
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else
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{
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// User given ELL width
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ell_width = user_ell_width;
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}
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ell_nnz = ell_width * m;
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// Determine COO nnz
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for(int i = 0; i < m; ++i)
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{
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int row_nnz = hcsr_row_ptr[i + 1] - hcsr_row_ptr[i];
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if(row_nnz > ell_width)
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{
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coo_nnz += row_nnz - ell_width;
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}
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}
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}
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else if(part == HIPSPARSE_HYB_PARTITION_MAX)
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{
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// Determine max nnz per row
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for(int i = 0; i < m; ++i)
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{
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int row_nnz = hcsr_row_ptr[i + 1] - hcsr_row_ptr[i];
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ell_width = (row_nnz > ell_width) ? row_nnz : ell_width;
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}
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ell_nnz = ell_width * m;
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}
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// Allocate host memory
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// ELL
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hhyb_ell_col_ind_gold.resize(ell_nnz);
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hhyb_ell_val_gold.resize(ell_nnz);
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// COO
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hhyb_coo_row_ind_gold.resize(coo_nnz);
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hhyb_coo_col_ind_gold.resize(coo_nnz);
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hhyb_coo_val_gold.resize(coo_nnz);
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// Fill HYB
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host_csr2hyb(m,
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nnz,
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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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ell_width,
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hhyb_ell_col_ind_gold.data(),
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hhyb_ell_val_gold.data(),
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hhyb_coo_row_ind_gold.data(),
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hhyb_coo_col_ind_gold.data(),
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hhyb_coo_val_gold.data(),
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idx_base);
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// Allocate verification structures
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std::vector<int> hhyb_ell_col_ind(ell_nnz);
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std::vector<T> hhyb_ell_val(ell_nnz);
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std::vector<int> hhyb_coo_row_ind(coo_nnz);
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std::vector<int> hhyb_coo_col_ind(coo_nnz);
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std::vector<T> hhyb_coo_val(coo_nnz);
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if(argus.unit_check)
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{
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CHECK_HIPSPARSE_ERROR(hipsparseXcsr2hyb(
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handle, m, n, descr, dcsr_val, dcsr_row_ptr, dcsr_col_ind, hyb, user_ell_width, part));
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// Copy output from device to host
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testhyb* dhyb = (testhyb*)hyb;
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// Check if sizes match
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unit_check_general(1, 1, 1, &m, &dhyb->m);
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unit_check_general(1, 1, 1, &n, &dhyb->n);
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unit_check_general(1, 1, 1, &ell_width, &dhyb->ell_width);
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unit_check_general(1, 1, 1, &ell_nnz, &dhyb->ell_nnz);
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unit_check_general(1, 1, 1, &coo_nnz, &dhyb->coo_nnz);
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CHECK_HIP_ERROR(hipMemcpy(hhyb_ell_col_ind.data(),
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dhyb->ell_col_ind,
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sizeof(int) * ell_nnz,
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hipMemcpyDeviceToHost));
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CHECK_HIP_ERROR(hipMemcpy(
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hhyb_ell_val.data(), dhyb->ell_val, sizeof(T) * ell_nnz, hipMemcpyDeviceToHost));
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CHECK_HIP_ERROR(hipMemcpy(hhyb_coo_row_ind.data(),
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dhyb->coo_row_ind,
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sizeof(int) * coo_nnz,
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hipMemcpyDeviceToHost));
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CHECK_HIP_ERROR(hipMemcpy(hhyb_coo_col_ind.data(),
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dhyb->coo_col_ind,
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sizeof(int) * coo_nnz,
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hipMemcpyDeviceToHost));
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CHECK_HIP_ERROR(hipMemcpy(
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hhyb_coo_val.data(), dhyb->coo_val, sizeof(T) * coo_nnz, hipMemcpyDeviceToHost));
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// Unit check
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unit_check_general(1, ell_nnz, 1, hhyb_ell_col_ind_gold.data(), hhyb_ell_col_ind.data());
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unit_check_general(1, ell_nnz, 1, hhyb_ell_val_gold.data(), hhyb_ell_val.data());
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unit_check_general(1, coo_nnz, 1, hhyb_coo_row_ind_gold.data(), hhyb_coo_row_ind.data());
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unit_check_general(1, coo_nnz, 1, hhyb_coo_col_ind_gold.data(), hhyb_coo_col_ind.data());
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unit_check_general(1, coo_nnz, 1, hhyb_coo_val_gold.data(), hhyb_coo_val.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(hipsparseXcsr2hyb(handle,
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m,
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n,
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descr,
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dcsr_val,
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dcsr_row_ptr,
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dcsr_col_ind,
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hyb,
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user_ell_width,
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part));
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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(hipsparseXcsr2hyb(handle,
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m,
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n,
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descr,
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dcsr_val,
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dcsr_row_ptr,
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dcsr_col_ind,
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hyb,
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user_ell_width,
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part));
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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 gbyte_count = csr2hyb_gbyte_count<T>(m, nnz, ell_nnz, coo_nnz);
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double gpu_gbyte = get_gpu_gbyte(gpu_time_used, gbyte_count);
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display_timing_info(display_key_t::M,
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m,
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display_key_t::N,
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n,
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display_key_t::ell_nnz,
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ell_nnz,
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display_key_t::coo_nnz,
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coo_nnz,
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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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#endif
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}
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#endif // TESTING_CSR2HYB_HPP
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