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322 lines
13 KiB
C++
322 lines
13 KiB
C++
/* ************************************************************************
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* Copyright (C) 2020-2025 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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#include "auto_testing_bad_arg.hpp"
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template <rocsparse_format FORMAT, typename I, typename J, typename T>
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struct testing_check_spmat_dispatch_traits;
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//
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// TRAITS FOR CSR FORMAT.
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//
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template <typename I, typename J, typename T>
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struct testing_check_spmat_dispatch_traits<rocsparse_format_csr, I, J, T>
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{
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using host_sparse_matrix = host_csr_matrix<T, I, J>;
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using device_sparse_matrix = device_csr_matrix<T, I, J>;
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static void sparse_initialization(rocsparse_matrix_factory<T, I, J>& matrix_factory,
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host_sparse_matrix& hA,
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J m,
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J n,
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rocsparse_index_base base,
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J block_dim)
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{
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matrix_factory.init_csr(hA, m, n, base);
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}
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static void display_info(const Arguments& arg, host_sparse_matrix& hA, double gpu_time_used)
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{
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double gbyte_count = check_matrix_csr_gbyte_count<T>(hA.m, hA.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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hA.m,
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display_key_t::N,
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hA.n,
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display_key_t::nnz,
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hA.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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};
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//
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// TRAITS FOR CSC FORMAT.
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//
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template <typename I, typename J, typename T>
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struct testing_check_spmat_dispatch_traits<rocsparse_format_csc, I, J, T>
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{
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using host_sparse_matrix = host_csc_matrix<T, I, J>;
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using device_sparse_matrix = device_csc_matrix<T, I, J>;
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static void sparse_initialization(rocsparse_matrix_factory<T, I, J>& matrix_factory,
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host_sparse_matrix& hA,
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J m,
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J n,
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rocsparse_index_base base,
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J block_dim)
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{
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matrix_factory.init_csc(hA, m, n, base);
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}
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static void display_info(const Arguments& arg, host_sparse_matrix& hA, double gpu_time_used)
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{
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double gbyte_count = check_matrix_csc_gbyte_count<T>(hA.n, hA.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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hA.m,
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display_key_t::N,
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hA.n,
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display_key_t::nnz,
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hA.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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};
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//
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// TRAITS FOR COO FORMAT.
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//
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template <typename I, typename T>
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struct testing_check_spmat_dispatch_traits<rocsparse_format_coo, I, I, T>
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{
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using host_sparse_matrix = host_coo_matrix<T, I>;
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using device_sparse_matrix = device_coo_matrix<T, I>;
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static void sparse_initialization(rocsparse_matrix_factory<T, I, I>& matrix_factory,
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host_sparse_matrix& hA,
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I m,
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I n,
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rocsparse_index_base base,
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I block_dim)
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{
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matrix_factory.init_coo(hA, m, n, base);
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}
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static void display_info(const Arguments& arg, host_sparse_matrix& hA, double gpu_time_used)
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{
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double gbyte_count = check_matrix_coo_gbyte_count<T>(hA.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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hA.m,
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display_key_t::N,
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hA.n,
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display_key_t::nnz,
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hA.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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};
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//
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// TRAITS FOR ELL FORMAT.
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//
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template <typename I, typename T>
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struct testing_check_spmat_dispatch_traits<rocsparse_format_ell, I, I, T>
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{
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using host_sparse_matrix = host_ell_matrix<T, I>;
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using device_sparse_matrix = device_ell_matrix<T, I>;
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static void sparse_initialization(rocsparse_matrix_factory<T, I, I>& matrix_factory,
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host_sparse_matrix& hA,
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I m,
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I n,
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rocsparse_index_base base,
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I block_dim)
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{
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matrix_factory.init_ell(hA, m, n, base);
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}
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static void display_info(const Arguments& arg, host_sparse_matrix& hA, double gpu_time_used)
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{
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double gbyte_count = check_matrix_ell_gbyte_count<T>(hA.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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hA.m,
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display_key_t::N,
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hA.n,
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display_key_t::nnz,
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hA.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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};
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//
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// TRAITS FOR BSR FORMAT.
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//
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template <typename I, typename J, typename T>
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struct testing_check_spmat_dispatch_traits<rocsparse_format_bsr, I, J, T>
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{
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using host_sparse_matrix = host_gebsr_matrix<T, I, J>;
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using device_sparse_matrix = device_gebsr_matrix<T, I, J>;
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static void sparse_initialization(rocsparse_matrix_factory<T, I, J>& matrix_factory,
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host_sparse_matrix& hA,
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J m,
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J n,
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rocsparse_index_base base,
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J block_dim)
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{
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matrix_factory.init_gebsr(hA, m, n, block_dim, block_dim, base);
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}
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static void display_info(const Arguments& arg, host_sparse_matrix& hA, double gpu_time_used)
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{
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double gbyte_count
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= check_matrix_gebsr_gbyte_count<T>(hA.mb, hA.nnzb, hA.row_block_dim, hA.col_block_dim);
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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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hA.mb * hA.row_block_dim,
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display_key_t::N,
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hA.nb * hA.row_block_dim,
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display_key_t::Mb,
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hA.mb,
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display_key_t::Nb,
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hA.nb,
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display_key_t::bdim,
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hA.row_block_dim,
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display_key_t::nnzb,
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hA.nnzb,
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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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};
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template <rocsparse_format FORMAT, typename I, typename J, typename T>
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struct testing_check_spmat_dispatch
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{
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private:
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using traits = testing_check_spmat_dispatch_traits<FORMAT, I, J, T>;
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using host_sparse_matrix = typename traits::host_sparse_matrix;
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using device_sparse_matrix = typename traits::device_sparse_matrix;
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public:
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static void testing_check_spmat(const Arguments& arg)
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{
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J m = arg.M;
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J n = arg.N;
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rocsparse_index_base base = arg.baseA;
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J block_dim = arg.block_dim;
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rocsparse_matrix_type matrix_type = arg.matrix_type;
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rocsparse_fill_mode uplo = arg.uplo;
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rocsparse_storage_mode storage = arg.storage;
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if(block_dim > 1)
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{
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m = (m + block_dim - 1) / block_dim;
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n = (n + block_dim - 1) / block_dim;
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}
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// Create rocsparse handle
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rocsparse_local_handle handle;
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rocsparse_matrix_factory<T, I, J> matrix_factory(arg);
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// Allocate host memory for CSR matrix
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host_sparse_matrix hA;
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// Generate (or load from file) CSR matrix
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traits::sparse_initialization(matrix_factory, hA, m, n, base, block_dim);
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// CSR matrix on device
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device_sparse_matrix dA(hA);
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// Create descriptor
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rocsparse_local_spmat A(dA);
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// Set Attributes
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EXPECT_ROCSPARSE_STATUS(
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rocsparse_spmat_set_attribute(
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A, rocsparse_spmat_matrix_type, &matrix_type, sizeof(matrix_type)),
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rocsparse_status_success);
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EXPECT_ROCSPARSE_STATUS(
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rocsparse_spmat_set_attribute(A, rocsparse_spmat_fill_mode, &uplo, sizeof(uplo)),
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rocsparse_status_success);
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EXPECT_ROCSPARSE_STATUS(rocsparse_spmat_set_attribute(
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A, rocsparse_spmat_storage_mode, &storage, sizeof(storage)),
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rocsparse_status_success);
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// Allocate buffer
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size_t buffer_size;
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rocsparse_data_status data_status;
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CHECK_ROCSPARSE_ERROR(rocsparse_check_spmat(handle,
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A,
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&data_status,
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rocsparse_check_spmat_stage_buffer_size,
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&buffer_size,
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nullptr));
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void* dbuffer;
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CHECK_HIP_ERROR(rocsparse_hipMalloc(&dbuffer, buffer_size));
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if(arg.unit_check)
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{
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CHECK_ROCSPARSE_ERROR(rocsparse_check_spmat(handle,
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A,
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&data_status,
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rocsparse_check_spmat_stage_compute,
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&buffer_size,
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dbuffer));
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CHECK_ROCSPARSE_DATA_ERROR(data_status);
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}
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if(arg.timing)
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{
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const double gpu_time_used
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= rocsparse_clients::run_benchmark(arg,
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rocsparse_check_spmat,
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handle,
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A,
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&data_status,
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rocsparse_check_spmat_stage_compute,
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nullptr,
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dbuffer);
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traits::display_info(arg, hA, gpu_time_used);
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}
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CHECK_HIP_ERROR(rocsparse_hipFree(dbuffer));
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}
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};
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