derek.holloway
7502bf64a4
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1372 lines
56 KiB
C++
1372 lines
56 KiB
C++
/*! \file */
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/* ************************************************************************
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* Copyright (C) 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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#include "testing_spilu0.hpp"
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#include "rocsparse_clients_objects.hpp"
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#include "rocsparse_clients_spmat_descr.hpp"
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#include "rocsparse_enum.hpp"
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#include "testing.hpp"
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#include <rocsparse/rocsparse-version.h>
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namespace rocsparse_clients
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{
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class spilu0_descr
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{
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private:
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rocsparse_handle m_handle{};
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rocsparse_spilu0_descr m_descr{};
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public:
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struct config
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{
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rocsparse_spilu0_alg alg{};
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rocsparse_analysis_policy analysis_policy{};
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rocsparse_datatype compute_datatype{};
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rocsparse_pointer_mode singular_pivot_tolerance_pointer_mode{};
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const void* singular_pivot_tolerance{};
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const int32_t boost_enable{};
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rocsparse_pointer_mode boost_val_pointer_mode{};
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const void* boost_val{};
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rocsparse_pointer_mode boost_tolerance_pointer_mode{};
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const void* boost_tolerance{};
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};
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protected:
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config* m_config;
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public:
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const config* get_config() const
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{
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return this->m_config;
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}
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host_dense_vector<int64_t> m_cpu_symbolic_singularity_position{};
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host_dense_vector<int64_t> m_cpu_numeric_exact_singularity_position{};
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host_dense_vector<int64_t> m_cpu_numeric_near_singularity_position{};
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host_dense_vector<int64_t> m_host_symbolic_singularity_position{};
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host_dense_vector<int64_t> m_host_numeric_singularity_position{};
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device_dense_vector<int64_t> m_device_symbolic_singularity_position{};
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device_dense_vector<int64_t> m_device_numeric_singularity_position{};
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spilu0_descr(rocsparse_handle handle, int64_t batch_count)
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: m_handle(handle)
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, m_cpu_symbolic_singularity_position(batch_count)
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, m_cpu_numeric_exact_singularity_position(batch_count)
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, m_cpu_numeric_near_singularity_position(batch_count)
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, m_host_symbolic_singularity_position(batch_count)
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, m_host_numeric_singularity_position(batch_count)
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, m_device_symbolic_singularity_position(batch_count)
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, m_device_numeric_singularity_position(batch_count)
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{
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ROCSPARSE_CLIENTS_ROUTINE_TRACE;
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rocsparse_error* p_error = nullptr;
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const rocsparse_status status
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= rocsparse_spilu0_descr_create(handle, &this->m_descr, p_error);
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if(status != rocsparse_status_success)
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{
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throw(status);
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}
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}
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~spilu0_descr()
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{
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ROCSPARSE_CLIENTS_ROUTINE_TRACE;
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rocsparse_error* p_error = nullptr;
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std::ignore = rocsparse_spilu0_descr_destroy(this->m_handle, this->m_descr, p_error);
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}
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inline operator rocsparse_spilu0_descr&()
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{
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return this->m_descr;
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}
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inline operator const rocsparse_spilu0_descr&() const
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{
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return this->m_descr;
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}
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};
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}
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template <typename T>
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static inline T host_assign_ilu0_boost_value(const T& value, const T& boost_val)
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{
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#ifdef ROCSPARSE_WITH_ILU0_BOOST_SIGN
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const auto abs_value = std::abs(value);
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const auto abs_boost = std::abs(boost_val);
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return (abs_value > 0) ? (static_cast<T>(abs_boost) * (value / abs_value))
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: static_cast<T>(abs_boost);
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#else
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return boost_val;
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#endif
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}
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template <typename T, typename I, typename J>
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void host_csrilu0(J M,
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const I* csr_row_ptr,
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const J* csr_col_ind,
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T* csr_val,
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rocsparse_index_base base,
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int64_t* struct_pivot,
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int64_t* numeric_pivot,
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int64_t* singular_pivot,
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const double* singular_tol,
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int32_t boost_enable,
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const floating_data_t<T>* boost_tol,
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const T* boost_val)
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{
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ROCSPARSE_CLIENTS_ROUTINE_TRACE;
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if((struct_pivot == nullptr) || (numeric_pivot == nullptr) || (singular_pivot == nullptr))
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{
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std::cerr << "host_csrilu0: invalid parameters, failed condition: ((struct_pivot != "
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"nullptr) && (numeric_pivot != nullptr) && (singular_pivot != nullptr))."
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<< std::endl;
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throw(1);
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}
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// Initialize pivot
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*struct_pivot = -1;
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*numeric_pivot = -1;
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*singular_pivot = -1;
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// pointer of upper part of each row
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std::vector<I> diag_offset(M, -1);
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std::vector<I> nnz_entries(M, 0);
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// ai = 0 to N loop over all rows
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for(J ai = 0; ai < M; ++ai)
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{
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// ai-th row entries
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I row_begin = csr_row_ptr[ai] - base;
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I row_end = csr_row_ptr[ai + 1] - base;
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I j;
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// nnz position of ai-th row in val array
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for(j = row_begin; j < row_end; ++j)
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{
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nnz_entries[csr_col_ind[j] - base] = j;
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}
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bool has_diag = false;
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I diag_pos = -1;
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// loop over ai-th row nnz entries
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for(j = row_begin; j < row_end; ++j)
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{
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// if nnz entry is in lower matrix
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if(csr_col_ind[j] - base < ai)
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{
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J col_j = csr_col_ind[j] - base;
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I diag_j = diag_offset[col_j];
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if(diag_j < 0)
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continue;
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T diag_val = csr_val[diag_j];
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if(boost_enable)
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{
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diag_val = (boost_tol[0] >= std::abs(diag_val))
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? host_assign_ilu0_boost_value(diag_val, boost_val[0])
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: diag_val;
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csr_val[diag_j] = diag_val;
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}
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else
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{
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// Check for numeric singular pivot
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if(std::abs(diag_val) <= singular_tol[0])
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{
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*singular_pivot = (*singular_pivot == -1)
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? (col_j + base)
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: std::min(*singular_pivot, int64_t(col_j + base));
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}
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// Check for numeric zero pivot
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if(diag_val == static_cast<T>(0))
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{
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*numeric_pivot = (*numeric_pivot == -1)
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? (col_j + base)
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: std::min(*numeric_pivot, int64_t(col_j + base));
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continue;
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}
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}
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{
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// multiplication factor
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csr_val[j] = csr_val[j] / diag_val;
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// loop over upper offset pointer and do linear combination for nnz entry
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for(I k = diag_j + 1; k < csr_row_ptr[col_j + 1] - base; ++k)
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{
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// if nnz at this position do linear combination
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if(nnz_entries[csr_col_ind[k] - base] != 0)
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{
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I idx = nnz_entries[csr_col_ind[k] - base];
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csr_val[idx] = std::fma(-csr_val[j], csr_val[k], csr_val[idx]);
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}
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}
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}
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}
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else if(csr_col_ind[j] - base == ai)
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{
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has_diag = true;
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diag_pos = j;
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break;
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}
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else
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{
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break;
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}
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}
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if(!has_diag)
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{
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// Structural (and numerical) zero diagonal
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*struct_pivot
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= (*struct_pivot == -1) ? (ai + base) : std::min(*struct_pivot, int64_t(ai + base));
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*numeric_pivot = (*numeric_pivot == -1) ? (ai + base)
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: std::min(*numeric_pivot, int64_t(ai + base));
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}
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else
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{
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// set diagonal pointer to diagonal element
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diag_offset[ai] = diag_pos;
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if(boost_enable)
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{
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if(std::abs(csr_val[diag_pos]) <= boost_tol[0])
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{
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csr_val[diag_pos]
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= host_assign_ilu0_boost_value(csr_val[diag_pos], boost_val[0]);
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}
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}
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else
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{
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const I diag_pos = diag_offset[ai];
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const bool is_diag = (diag_pos >= 0) && (csr_col_ind[diag_pos] == (ai + base));
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const bool is_singular_diag
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= is_diag && (std::abs(csr_val[diag_pos]) <= singular_tol[0]);
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const bool is_zero_diag = is_diag && (csr_val[diag_pos] == static_cast<T>(0));
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// check for singular diagonal
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if(is_singular_diag)
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{
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*singular_pivot = (*singular_pivot == -1)
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? (ai + base)
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: std::min(*singular_pivot, int64_t(ai + base));
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}
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// check for zero diagonal
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if(is_zero_diag)
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{
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*numeric_pivot = (*numeric_pivot == -1)
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? (ai + base)
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: std::min(*numeric_pivot, int64_t(ai + base));
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}
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}
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// clear nnz entries
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for(j = row_begin; j < row_end; ++j)
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{
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nnz_entries[csr_col_ind[j] - base] = 0;
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}
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}
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}
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if(*struct_pivot != -1)
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{
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*numeric_pivot
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= (*numeric_pivot == -1) ? (*struct_pivot) : std::min(*numeric_pivot, *struct_pivot);
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}
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if(*numeric_pivot != -1)
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{
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*singular_pivot = (*singular_pivot == -1) ? (*numeric_pivot)
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: std::min(*singular_pivot, *numeric_pivot);
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}
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}
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template <typename T, typename I, typename J>
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void host_bsrilu0(rocsparse_direction dir,
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J mb,
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const I* bsr_row_ptr,
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const J* bsr_col_ind,
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T* bsr_val,
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J bsr_dim,
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rocsparse_index_base base,
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int64_t* struct_pivot,
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int64_t* numeric_pivot,
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int32_t boost_enable,
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const floating_data_t<T>* boost_tol,
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const T* boost_val)
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{
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ROCSPARSE_CLIENTS_ROUTINE_TRACE;
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// Initialize pivots
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*struct_pivot = mb + 1;
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*numeric_pivot = mb + 1;
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// Temporary vector to hold diagonal offset to access diagonal BSR block
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std::vector<I> diag_offset(mb);
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std::vector<I> nnz_entries(mb, -1);
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if(mb > 0)
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{
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// First diagonal block is index 0
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diag_offset[0] = 0;
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}
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// Loop over all BSR rows
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for(J i = 0; i < mb; ++i)
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{
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// Flag whether we have a diagonal block or not
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bool has_diag = false;
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// BSR column entry and exit point
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I row_begin = bsr_row_ptr[i] - base;
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I row_end = bsr_row_ptr[i + 1] - base;
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I j;
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// Set up entry points for linear combination
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for(j = row_begin; j < row_end; ++j)
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{
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J col_j = bsr_col_ind[j] - base;
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nnz_entries[col_j] = j;
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}
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// Process lower diagonal BSR blocks (diagonal BSR block is excluded)
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for(j = row_begin; j < row_end; ++j)
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{
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// Column index of current BSR block
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J bsr_col = bsr_col_ind[j] - base;
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// If this is a diagonal block, set diagonal flag to true and skip
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// all upcoming blocks as we exceed the lower matrix part
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if(bsr_col == i)
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{
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has_diag = true;
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break;
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}
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// Skip all upper matrix blocks
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if(bsr_col > i)
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{
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break;
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}
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// Process all lower matrix BSR blocks
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// Obtain corresponding row entry and exit point that corresponds with the
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// current BSR column. Actually, we skip all lower matrix column indices,
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// therefore starting with the diagonal entry.
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I diag_j = diag_offset[bsr_col];
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I row_end_j = bsr_row_ptr[bsr_col + 1] - base;
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// Loop through all rows within the BSR block
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for(J bi = 0; bi < bsr_dim; ++bi)
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{
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T diag = bsr_val[BSR_IND(diag_j, bi, bi, dir)];
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// Process all rows within the BSR block
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for(J bk = 0; bk < bsr_dim; ++bk)
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{
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T val = bsr_val[BSR_IND(j, bk, bi, dir)];
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// Multiplication factor
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bsr_val[BSR_IND(j, bk, bi, dir)] = val /= diag;
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// Loop through columns of bk-th row and do linear combination
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for(J bj = bi + 1; bj < bsr_dim; ++bj)
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{
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bsr_val[BSR_IND(j, bk, bj, dir)]
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= std::fma(-val,
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bsr_val[BSR_IND(diag_j, bi, bj, dir)],
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bsr_val[BSR_IND(j, bk, bj, dir)]);
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}
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}
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}
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// Loop over upper offset pointer and do linear combination for nnz entry
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for(I k = diag_j + 1; k < row_end_j; ++k)
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{
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J bsr_col_k = bsr_col_ind[k] - base;
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if(nnz_entries[bsr_col_k] != -1)
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{
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J m = nnz_entries[bsr_col_k];
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|
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// Loop through all rows within the BSR block
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for(J bi = 0; bi < bsr_dim; ++bi)
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{
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// Loop through columns of bi-th row and do linear combination
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for(J bj = 0; bj < bsr_dim; ++bj)
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{
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T sum = static_cast<T>(0);
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for(J bk = 0; bk < bsr_dim; ++bk)
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{
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sum = std::fma(bsr_val[BSR_IND(j, bi, bk, dir)],
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bsr_val[BSR_IND(k, bk, bj, dir)],
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sum);
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}
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bsr_val[BSR_IND(m, bi, bj, dir)] -= sum;
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}
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}
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}
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}
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}
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|
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// Check for structural pivot
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if(!has_diag)
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{
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*struct_pivot = std::min(*struct_pivot, int64_t(i + base));
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break;
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}
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// Process diagonal
|
|
if(bsr_col_ind[j] - base == i)
|
|
{
|
|
// Loop through all rows within the BSR block
|
|
for(J bi = 0; bi < bsr_dim; ++bi)
|
|
{
|
|
T diag = bsr_val[BSR_IND(j, bi, bi, dir)];
|
|
|
|
if(boost_enable)
|
|
{
|
|
diag = (boost_tol[0] >= std::abs(diag))
|
|
? host_assign_ilu0_boost_value(diag, boost_val[0])
|
|
: diag;
|
|
bsr_val[BSR_IND(j, bi, bi, dir)] = diag;
|
|
}
|
|
else
|
|
{
|
|
// Check for numeric pivot
|
|
if(diag == static_cast<T>(0))
|
|
{
|
|
*numeric_pivot = std::min(*numeric_pivot, int64_t(bsr_col_ind[j]));
|
|
continue;
|
|
}
|
|
}
|
|
|
|
// Process all rows within the BSR block after bi-th row
|
|
for(J bk = bi + 1; bk < bsr_dim; ++bk)
|
|
{
|
|
T val = bsr_val[BSR_IND(j, bk, bi, dir)];
|
|
|
|
// Multiplication factor
|
|
bsr_val[BSR_IND(j, bk, bi, dir)] = val /= diag;
|
|
|
|
// Loop through remaining columns of bk-th row and do linear combination
|
|
for(J bj = bi + 1; bj < bsr_dim; ++bj)
|
|
{
|
|
bsr_val[BSR_IND(j, bk, bj, dir)]
|
|
= std::fma(-val,
|
|
bsr_val[BSR_IND(j, bi, bj, dir)],
|
|
bsr_val[BSR_IND(j, bk, bj, dir)]);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// Store diagonal BSR block entry point
|
|
I row_diag = diag_offset[i] = j;
|
|
|
|
// Process upper diagonal BSR blocks
|
|
for(j = row_diag + 1; j < row_end; ++j)
|
|
{
|
|
// Loop through all rows within the BSR block
|
|
for(J bi = 0; bi < bsr_dim; ++bi)
|
|
{
|
|
// Process all rows within the BSR block after bi-th row
|
|
for(J bk = bi + 1; bk < bsr_dim; ++bk)
|
|
{
|
|
// Loop through columns of bk-th row and do linear combination
|
|
for(J bj = 0; bj < bsr_dim; ++bj)
|
|
{
|
|
bsr_val[BSR_IND(j, bk, bj, dir)]
|
|
= std::fma(-bsr_val[BSR_IND(row_diag, bk, bi, dir)],
|
|
bsr_val[BSR_IND(j, bi, bj, dir)],
|
|
bsr_val[BSR_IND(j, bk, bj, dir)]);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
// Reset entry points
|
|
for(j = row_begin; j < row_end; ++j)
|
|
{
|
|
J col_j = bsr_col_ind[j] - base;
|
|
nnz_entries[col_j] = -1;
|
|
}
|
|
}
|
|
|
|
*struct_pivot = (*struct_pivot == mb + 1) ? -1 : *struct_pivot;
|
|
*numeric_pivot = (*numeric_pivot == mb + 1) ? -1 : *numeric_pivot;
|
|
|
|
// Solve pivot gives the first numerical or structural non-invertible block
|
|
if(numeric_pivot[0] == -1)
|
|
{
|
|
numeric_pivot[0] = struct_pivot[0];
|
|
}
|
|
else if(struct_pivot[0] != -1)
|
|
{
|
|
numeric_pivot[0] = std::min(numeric_pivot[0], struct_pivot[0]);
|
|
}
|
|
}
|
|
|
|
template <typename I, typename J, typename T>
|
|
void testing_spilu0_set_input_bad_arg(const Arguments& arg)
|
|
{
|
|
rocsparse_error* p_error = nullptr;
|
|
rocsparse_local_handle local_handle;
|
|
rocsparse_spilu0_descr spilu0_descr = (rocsparse_spilu0_descr)0x4;
|
|
rocsparse_handle handle = local_handle;
|
|
static constexpr int nex = 2;
|
|
static const int ex[nex] = {4, 5};
|
|
const rocsparse_spilu0_input input = rocsparse_spilu0_input_alg;
|
|
void* data = (void*)0x4;
|
|
size_t data_size_in_bytes = sizeof(input);
|
|
select_bad_arg_analysis(rocsparse_spilu0_set_input,
|
|
nex,
|
|
ex,
|
|
handle, //0
|
|
spilu0_descr, //1
|
|
input, //2
|
|
data, //3
|
|
data_size_in_bytes, //4
|
|
p_error); // 5
|
|
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0_descr_create(handle, &spilu0_descr, p_error));
|
|
for(auto e : {rocsparse_spilu0_input_alg,
|
|
rocsparse_spilu0_input_analysis_policy,
|
|
rocsparse_spilu0_input_compute_datatype,
|
|
rocsparse_spilu0_input_boost_enable,
|
|
rocsparse_spilu0_input_boost_tolerance,
|
|
rocsparse_spilu0_input_boost_value,
|
|
rocsparse_spilu0_input_singularity_tolerance})
|
|
{
|
|
switch(e)
|
|
{
|
|
case rocsparse_spilu0_input_alg:
|
|
case rocsparse_spilu0_input_analysis_policy:
|
|
case rocsparse_spilu0_input_compute_datatype:
|
|
case rocsparse_spilu0_input_boost_enable:
|
|
case rocsparse_spilu0_input_boost_tolerance:
|
|
case rocsparse_spilu0_input_boost_value:
|
|
case rocsparse_spilu0_input_singularity_tolerance:
|
|
{
|
|
EXPECT_ROCSPARSE_STATUS(
|
|
rocsparse_spilu0_set_input(handle, spilu0_descr, e, data, 0, p_error),
|
|
rocsparse_status_invalid_value);
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
|
|
//
|
|
// Singularity force to be double
|
|
//
|
|
EXPECT_ROCSPARSE_STATUS(rocsparse_spilu0_set_input(handle,
|
|
spilu0_descr,
|
|
rocsparse_spilu0_input_singularity_tolerance,
|
|
data,
|
|
sizeof(float),
|
|
p_error),
|
|
rocsparse_status_invalid_value);
|
|
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0_descr_destroy(handle, spilu0_descr, p_error));
|
|
}
|
|
|
|
template <typename I, typename J, typename T>
|
|
void testing_spilu0_buffer_size_bad_arg(const Arguments& arg)
|
|
{
|
|
rocsparse_local_handle local_handle;
|
|
|
|
rocsparse_handle handle = local_handle;
|
|
rocsparse_spilu0_descr spilu0_descr = (rocsparse_spilu0_descr)0x4;
|
|
|
|
rocsparse_spmat_descr A = (rocsparse_spmat_descr)0x4;
|
|
rocsparse_spmat_descr P = (rocsparse_spmat_descr)0x4;
|
|
rocsparse_spilu0_stage spilu0_stage = rocsparse_spilu0_stage_analysis;
|
|
|
|
rocsparse_error* p_error = nullptr;
|
|
{
|
|
size_t* p_buffer_size_in_bytes = (size_t*)0x4;
|
|
#define PARAMS_BUFFER_SIZE handle, spilu0_descr, A, P, spilu0_stage, p_buffer_size_in_bytes, p_error
|
|
|
|
static constexpr int nex = 1;
|
|
static const int ex[nex] = {6};
|
|
select_bad_arg_analysis(rocsparse_spilu0_buffer_size, nex, ex, PARAMS_BUFFER_SIZE);
|
|
|
|
#undef PARAMS_BUFFER_SIZE
|
|
}
|
|
}
|
|
|
|
template <typename I, typename J, typename T>
|
|
void testing_spilu0_get_output_bad_arg(const Arguments& arg)
|
|
{
|
|
rocsparse_local_handle local_handle;
|
|
rocsparse_handle handle = local_handle;
|
|
rocsparse_spilu0_descr spilu0_descr = (rocsparse_spilu0_descr)0x4;
|
|
rocsparse_error* p_error = nullptr;
|
|
static constexpr int nex = 2;
|
|
static const int ex[nex] = {4, 5};
|
|
size_t data_size_in_bytes = sizeof(int64_t);
|
|
void* data = (void*)0x4;
|
|
rocsparse_spilu0_output output = rocsparse_spilu0_output_singularity_position;
|
|
select_bad_arg_analysis(rocsparse_spilu0_get_output,
|
|
nex,
|
|
ex,
|
|
handle,
|
|
spilu0_descr,
|
|
output,
|
|
data,
|
|
data_size_in_bytes,
|
|
p_error);
|
|
}
|
|
|
|
template <typename I, typename J, typename T>
|
|
void testing_spilu0_analysis_bad_arg(const Arguments& arg)
|
|
{
|
|
rocsparse_local_handle local_handle;
|
|
rocsparse_handle handle = local_handle;
|
|
rocsparse_spilu0_descr spilu0_descr = (rocsparse_spilu0_descr)0x4;
|
|
rocsparse_spmat_descr A = (rocsparse_spmat_descr)0x4;
|
|
rocsparse_spmat_descr P = (rocsparse_spmat_descr)0x4;
|
|
rocsparse_spilu0_stage spilu0_stage = rocsparse_spilu0_stage_analysis;
|
|
void* buffer = (void*)0x4;
|
|
rocsparse_error* p_error = nullptr;
|
|
{
|
|
const size_t buffer_size_in_bytes = 1;
|
|
#define PARAMS handle, spilu0_descr, A, P, spilu0_stage, buffer_size_in_bytes, buffer, p_error
|
|
static constexpr int nex = 2;
|
|
static const int ex[nex] = {5, 7};
|
|
select_bad_arg_analysis(rocsparse_spilu0, nex, ex, PARAMS);
|
|
#undef PARAMS
|
|
}
|
|
}
|
|
|
|
template <typename I, typename J, typename T>
|
|
void testing_spilu0_bad_arg(const Arguments& arg)
|
|
{
|
|
testing_spilu0_buffer_size_bad_arg<I, J, T>(arg);
|
|
testing_spilu0_analysis_bad_arg<I, J, T>(arg);
|
|
testing_spilu0_set_input_bad_arg<I, J, T>(arg);
|
|
testing_spilu0_get_output_bad_arg<I, J, T>(arg);
|
|
|
|
rocsparse_error* p_error = nullptr;
|
|
rocsparse_local_handle local_handle;
|
|
rocsparse_handle handle = local_handle;
|
|
//
|
|
// Now get a concrete example and continue.
|
|
//
|
|
rocsparse_clients::csr_tridiag_matrix_t<T, I, J> A(4);
|
|
rocsparse_spmat_descr P = A;
|
|
host_scalar<double> hsingularity_tolerance(1);
|
|
hsingularity_tolerance[0] = 1.0e-5;
|
|
device_scalar<double> dsingularity_tolerance(hsingularity_tolerance);
|
|
|
|
for(auto analysis_policy : {rocsparse_analysis_policy_force, rocsparse_analysis_policy_reuse})
|
|
{
|
|
rocsparse_clients::spilu0_descr spilu0_descr(handle, 1);
|
|
|
|
const rocsparse_spilu0_alg alg = rocsparse_spilu0_alg_default;
|
|
const rocsparse_datatype compute_datatype = get_datatype<T>();
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0_set_input(
|
|
handle, spilu0_descr, rocsparse_spilu0_input_alg, &alg, sizeof(alg), p_error));
|
|
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0_set_input(handle,
|
|
spilu0_descr,
|
|
rocsparse_spilu0_input_analysis_policy,
|
|
&analysis_policy,
|
|
sizeof(analysis_policy),
|
|
p_error));
|
|
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0_set_input(handle,
|
|
spilu0_descr,
|
|
rocsparse_spilu0_input_compute_datatype,
|
|
&compute_datatype,
|
|
sizeof(compute_datatype),
|
|
p_error));
|
|
|
|
size_t buffer_size;
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0_buffer_size(
|
|
handle, spilu0_descr, A, P, rocsparse_spilu0_stage_analysis, &buffer_size, p_error));
|
|
|
|
{
|
|
device_dense_vector<char> buffer(buffer_size);
|
|
CHECK_HIP_ERROR(hipMemset(buffer, 255 - 1, buffer_size));
|
|
|
|
//
|
|
// Call compute before analysis.
|
|
//
|
|
EXPECT_ROCSPARSE_STATUS(rocsparse_status_invalid_value,
|
|
rocsparse_spilu0(handle,
|
|
spilu0_descr,
|
|
A,
|
|
P,
|
|
rocsparse_spilu0_stage_compute,
|
|
buffer_size,
|
|
buffer,
|
|
p_error));
|
|
|
|
//
|
|
// Call analysis.
|
|
//
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0(handle,
|
|
spilu0_descr,
|
|
A,
|
|
P,
|
|
rocsparse_spilu0_stage_analysis,
|
|
buffer_size,
|
|
buffer,
|
|
p_error));
|
|
|
|
for(auto input : {rocsparse_spilu0_input_alg,
|
|
rocsparse_spilu0_input_analysis_policy,
|
|
rocsparse_spilu0_input_compute_datatype,
|
|
rocsparse_spilu0_input_boost_enable,
|
|
rocsparse_spilu0_input_boost_tolerance,
|
|
rocsparse_spilu0_input_boost_value,
|
|
rocsparse_spilu0_input_singularity_tolerance})
|
|
{
|
|
switch(input)
|
|
{
|
|
case rocsparse_spilu0_input_alg:
|
|
case rocsparse_spilu0_input_compute_datatype:
|
|
case rocsparse_spilu0_input_analysis_policy:
|
|
{
|
|
EXPECT_ROCSPARSE_STATUS(
|
|
rocsparse_status_invalid_value,
|
|
rocsparse_spilu0_set_input(
|
|
handle, spilu0_descr, input, (void*)0x4, sizeof(int64_t), p_error));
|
|
break;
|
|
}
|
|
case rocsparse_spilu0_input_singularity_tolerance:
|
|
{
|
|
EXPECT_ROCSPARSE_STATUS(
|
|
rocsparse_status_invalid_value,
|
|
rocsparse_spilu0_set_input(
|
|
handle, spilu0_descr, input, (void*)0x4, sizeof(float), p_error));
|
|
|
|
CHECK_ROCSPARSE_ERROR(
|
|
rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
|
|
CHECK_ROCSPARSE_ERROR(
|
|
rocsparse_spilu0_set_input(handle,
|
|
spilu0_descr,
|
|
rocsparse_spilu0_input_singularity_tolerance,
|
|
hsingularity_tolerance,
|
|
sizeof(double),
|
|
p_error));
|
|
CHECK_ROCSPARSE_ERROR(
|
|
rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device));
|
|
CHECK_ROCSPARSE_ERROR(
|
|
rocsparse_spilu0_set_input(handle,
|
|
spilu0_descr,
|
|
rocsparse_spilu0_input_singularity_tolerance,
|
|
dsingularity_tolerance,
|
|
sizeof(double),
|
|
p_error));
|
|
break;
|
|
}
|
|
case rocsparse_spilu0_input_boost_enable:
|
|
case rocsparse_spilu0_input_boost_tolerance:
|
|
case rocsparse_spilu0_input_boost_value:
|
|
{
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
|
|
//
|
|
// Call analysis twice.
|
|
//
|
|
EXPECT_ROCSPARSE_STATUS(rocsparse_status_invalid_value,
|
|
rocsparse_spilu0(handle,
|
|
spilu0_descr,
|
|
A,
|
|
P,
|
|
rocsparse_spilu0_stage_analysis,
|
|
buffer_size,
|
|
buffer,
|
|
p_error));
|
|
}
|
|
|
|
{
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0_buffer_size(
|
|
handle, spilu0_descr, A, P, rocsparse_spilu0_stage_compute, &buffer_size, p_error));
|
|
device_dense_vector<char> buffer(buffer_size);
|
|
CHECK_HIP_ERROR(hipMemset(buffer, 255 - 1, buffer_size));
|
|
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
|
|
CHECK_ROCSPARSE_ERROR(
|
|
rocsparse_spilu0_set_input(handle,
|
|
spilu0_descr,
|
|
rocsparse_spilu0_input_singularity_tolerance,
|
|
hsingularity_tolerance,
|
|
sizeof(double),
|
|
p_error));
|
|
|
|
//
|
|
// Call compute.
|
|
//
|
|
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0(handle,
|
|
spilu0_descr,
|
|
A,
|
|
P,
|
|
rocsparse_spilu0_stage_compute,
|
|
buffer_size,
|
|
buffer,
|
|
p_error));
|
|
|
|
//
|
|
// Call analysis after compute.
|
|
//
|
|
EXPECT_ROCSPARSE_STATUS(rocsparse_status_invalid_value,
|
|
rocsparse_spilu0(handle,
|
|
spilu0_descr,
|
|
A,
|
|
P,
|
|
rocsparse_spilu0_stage_analysis,
|
|
buffer_size,
|
|
buffer,
|
|
p_error));
|
|
|
|
CHECK_ROCSPARSE_ERROR(
|
|
rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device));
|
|
CHECK_ROCSPARSE_ERROR(
|
|
rocsparse_spilu0_set_input(handle,
|
|
spilu0_descr,
|
|
rocsparse_spilu0_input_singularity_tolerance,
|
|
dsingularity_tolerance,
|
|
sizeof(double),
|
|
p_error));
|
|
|
|
//
|
|
// Call compute.
|
|
//
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0(handle,
|
|
spilu0_descr,
|
|
A,
|
|
P,
|
|
rocsparse_spilu0_stage_compute,
|
|
buffer_size,
|
|
buffer,
|
|
p_error));
|
|
|
|
//
|
|
// Call analysis after compute.
|
|
//
|
|
EXPECT_ROCSPARSE_STATUS(rocsparse_status_invalid_value,
|
|
rocsparse_spilu0(handle,
|
|
spilu0_descr,
|
|
A,
|
|
P,
|
|
rocsparse_spilu0_stage_analysis,
|
|
buffer_size,
|
|
buffer,
|
|
p_error));
|
|
//
|
|
// Call compute.
|
|
//
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0(handle,
|
|
spilu0_descr,
|
|
A,
|
|
P,
|
|
rocsparse_spilu0_stage_compute,
|
|
buffer_size,
|
|
buffer,
|
|
p_error));
|
|
}
|
|
}
|
|
}
|
|
|
|
template <typename T, typename I, typename J = I>
|
|
void rocsparse_clients_spilu0_host(rocsparse_clients::spilu0_descr& spilu0_descr,
|
|
rocsparse_clients::spmat_descr<T, I, J>& A,
|
|
const double* singular_pivot_tolerance,
|
|
int32_t boost_enable,
|
|
const floating_data_t<T>* boost_tolerance,
|
|
const T* boost_value)
|
|
{
|
|
|
|
auto& cpu_symbolic_pivot = spilu0_descr.m_cpu_symbolic_singularity_position;
|
|
auto& cpu_numeric_near_pivot = spilu0_descr.m_cpu_numeric_near_singularity_position;
|
|
auto& cpu_numeric_exact_pivot = spilu0_descr.m_cpu_numeric_exact_singularity_position;
|
|
const rocsparse_format format = A.get_format();
|
|
const int64_t batch_count = A.get_batch_count();
|
|
switch(format)
|
|
{
|
|
case rocsparse_format_csr:
|
|
{
|
|
auto& host = A.template as<rocsparse_format_csr>().host();
|
|
for(int64_t i = 0; i < batch_count; ++i)
|
|
{
|
|
T* p = host.val.data() + i * A.get_stride();
|
|
host_csrilu0<T, I, J>(host.m,
|
|
host.ptr,
|
|
host.ind,
|
|
p,
|
|
host.base,
|
|
cpu_symbolic_pivot + i,
|
|
cpu_numeric_exact_pivot + i,
|
|
cpu_numeric_near_pivot + i,
|
|
singular_pivot_tolerance,
|
|
boost_enable,
|
|
boost_tolerance,
|
|
boost_value);
|
|
}
|
|
|
|
for(int64_t j = 0; j < batch_count; ++j)
|
|
{
|
|
if(cpu_numeric_near_pivot[j] == -1)
|
|
{
|
|
cpu_numeric_near_pivot[j] = cpu_numeric_exact_pivot[j];
|
|
}
|
|
else
|
|
{
|
|
if(cpu_numeric_exact_pivot[j] != -1)
|
|
{
|
|
cpu_numeric_near_pivot[j]
|
|
= std::min(cpu_numeric_near_pivot[j], cpu_numeric_exact_pivot[j]);
|
|
}
|
|
}
|
|
}
|
|
break;
|
|
}
|
|
|
|
case rocsparse_format_bsr:
|
|
{
|
|
auto& host = A.template as<rocsparse_format_bsr>().host();
|
|
for(int64_t i = 0; i < batch_count; ++i)
|
|
{
|
|
T* p = host.val.data() + i * A.get_stride();
|
|
|
|
host_bsrilu0<T, I, J>(host.block_direction,
|
|
host.mb,
|
|
host.ptr,
|
|
host.ind,
|
|
p,
|
|
host.row_block_dim,
|
|
host.base,
|
|
cpu_symbolic_pivot + i,
|
|
cpu_numeric_exact_pivot + i,
|
|
boost_enable,
|
|
boost_tolerance,
|
|
boost_value);
|
|
for(int64_t j = 0; j < batch_count; ++j)
|
|
{
|
|
cpu_numeric_near_pivot[j] = cpu_numeric_exact_pivot[j];
|
|
}
|
|
}
|
|
break;
|
|
}
|
|
|
|
case rocsparse_format_ell:
|
|
case rocsparse_format_sell:
|
|
case rocsparse_format_bell:
|
|
case rocsparse_format_coo:
|
|
case rocsparse_format_coo_aos:
|
|
case rocsparse_format_csc:
|
|
{
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
|
|
template <typename I, typename J, typename T>
|
|
void testing_spilu0(const Arguments& arg_)
|
|
{
|
|
Arguments arg(arg_);
|
|
|
|
rocsparse_error* p_error = nullptr;
|
|
//
|
|
// Import matrix.
|
|
//
|
|
if(arg.M != arg.N)
|
|
{
|
|
return;
|
|
}
|
|
|
|
static constexpr const bool full_rank = true;
|
|
int64_t batch_count = arg.batch_count;
|
|
if(batch_count == -1)
|
|
batch_count = 1;
|
|
|
|
rocsparse_local_handle handle(arg);
|
|
|
|
hipStream_t stream;
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_get_stream(handle, &stream));
|
|
|
|
const double h_singular_pivot_tolerance[1] = {0.001};
|
|
const rocsparse_spilu0_alg alg = rocsparse_spilu0_alg_default;
|
|
const rocsparse_analysis_policy analysis_policy = arg.apol;
|
|
const rocsparse_datatype compute_datatype = get_datatype<T>();
|
|
const int32_t boost_enable = arg.numericboost;
|
|
const T h_boost_value[1] = {arg.get_boostval<T>()};
|
|
const floating_data_t<T> h_boost_tolerance[1] = {static_cast<floating_data_t<T>>(arg.boosttol)};
|
|
|
|
rocsparse_clients::spmat_descr<T, I, J> A(arg, batch_count, full_rank);
|
|
|
|
if(false == A.is_square())
|
|
{
|
|
return;
|
|
}
|
|
|
|
rocsparse_clients::spilu0_descr spilu0_descr(handle, batch_count);
|
|
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0_set_input(
|
|
handle, spilu0_descr, rocsparse_spilu0_input_alg, &alg, sizeof(alg), p_error));
|
|
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0_set_input(handle,
|
|
spilu0_descr,
|
|
rocsparse_spilu0_input_analysis_policy,
|
|
&analysis_policy,
|
|
sizeof(analysis_policy),
|
|
p_error));
|
|
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0_set_input(handle,
|
|
spilu0_descr,
|
|
rocsparse_spilu0_input_compute_datatype,
|
|
&compute_datatype,
|
|
sizeof(compute_datatype),
|
|
p_error));
|
|
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0_set_input(handle,
|
|
spilu0_descr,
|
|
rocsparse_spilu0_input_boost_enable,
|
|
&boost_enable,
|
|
sizeof(compute_datatype),
|
|
p_error));
|
|
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
|
|
|
|
const T h_boost_val = arg.get_boostval<T>();
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0_set_input(handle,
|
|
spilu0_descr,
|
|
rocsparse_spilu0_input_boost_value,
|
|
&h_boost_val,
|
|
sizeof(&h_boost_val),
|
|
p_error));
|
|
|
|
const double h_boost_tol = static_cast<double>(arg.boosttol);
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0_set_input(handle,
|
|
spilu0_descr,
|
|
rocsparse_spilu0_input_boost_tolerance,
|
|
&h_boost_tol,
|
|
sizeof(h_boost_tol),
|
|
p_error));
|
|
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0_set_input(handle,
|
|
spilu0_descr,
|
|
rocsparse_spilu0_input_singularity_tolerance,
|
|
&h_singular_pivot_tolerance,
|
|
sizeof(double),
|
|
p_error));
|
|
|
|
auto& device_symbolic_pivot = spilu0_descr.m_device_symbolic_singularity_position;
|
|
auto& host_symbolic_pivot = spilu0_descr.m_host_symbolic_singularity_position;
|
|
|
|
{
|
|
size_t buffer_size_in_bytes = std::numeric_limits<size_t>::max();
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0_buffer_size(handle,
|
|
spilu0_descr,
|
|
A,
|
|
A,
|
|
rocsparse_spilu0_stage_analysis,
|
|
&buffer_size_in_bytes,
|
|
p_error));
|
|
device_dense_vector<char> buffer(buffer_size_in_bytes);
|
|
CHECK_HIP_ERROR(hipMemset(buffer, 255 - 1, buffer_size_in_bytes));
|
|
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0(handle,
|
|
spilu0_descr,
|
|
A,
|
|
A,
|
|
rocsparse_spilu0_stage_analysis,
|
|
buffer_size_in_bytes,
|
|
buffer,
|
|
p_error));
|
|
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
|
|
|
|
CHECK_ROCSPARSE_ERROR(
|
|
rocsparse_spilu0_get_output(handle,
|
|
spilu0_descr,
|
|
rocsparse_spilu0_output_singularity_position,
|
|
host_symbolic_pivot,
|
|
sizeof(int64_t),
|
|
p_error));
|
|
|
|
CHECK_HIP_ERROR(hipStreamSynchronize(stream));
|
|
}
|
|
|
|
auto& device_numeric_pivot = spilu0_descr.m_device_numeric_singularity_position;
|
|
auto& host_numeric_pivot = spilu0_descr.m_host_numeric_singularity_position;
|
|
|
|
if(arg.unit_check)
|
|
{
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device));
|
|
|
|
CHECK_ROCSPARSE_ERROR(
|
|
rocsparse_spilu0_get_output(handle,
|
|
spilu0_descr,
|
|
rocsparse_spilu0_output_singularity_position,
|
|
device_symbolic_pivot,
|
|
sizeof(int64_t),
|
|
p_error));
|
|
|
|
CHECK_HIP_ERROR(hipStreamSynchronize(stream));
|
|
|
|
//
|
|
// Check pivot is the same with either host or device mode.
|
|
//
|
|
host_symbolic_pivot.unit_check(device_symbolic_pivot);
|
|
|
|
//
|
|
// Check consistency of the status and the symbolic resulting pivot.
|
|
//
|
|
//
|
|
// Perform calculation.
|
|
//
|
|
{
|
|
size_t buffer_size_in_bytes = std::numeric_limits<size_t>::max();
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0_buffer_size(handle,
|
|
spilu0_descr,
|
|
A,
|
|
A,
|
|
rocsparse_spilu0_stage_compute,
|
|
&buffer_size_in_bytes,
|
|
p_error));
|
|
|
|
device_dense_vector<char> buffer(buffer_size_in_bytes);
|
|
CHECK_HIP_ERROR(hipMemset(buffer, 255 - 1, buffer_size_in_bytes));
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0(handle,
|
|
spilu0_descr,
|
|
A,
|
|
A,
|
|
rocsparse_spilu0_stage_compute,
|
|
buffer_size_in_bytes,
|
|
buffer,
|
|
p_error));
|
|
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
|
|
|
|
CHECK_ROCSPARSE_ERROR(
|
|
rocsparse_spilu0_get_output(handle,
|
|
spilu0_descr,
|
|
rocsparse_spilu0_output_singularity_position,
|
|
host_numeric_pivot,
|
|
sizeof(int64_t),
|
|
p_error));
|
|
|
|
CHECK_ROCSPARSE_ERROR(
|
|
rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device));
|
|
|
|
CHECK_ROCSPARSE_ERROR(
|
|
rocsparse_spilu0_get_output(handle,
|
|
spilu0_descr,
|
|
rocsparse_spilu0_output_singularity_position,
|
|
device_numeric_pivot,
|
|
sizeof(int64_t),
|
|
p_error));
|
|
|
|
CHECK_HIP_ERROR(hipStreamSynchronize(stream));
|
|
|
|
//
|
|
// Check numeric pivots match.
|
|
//
|
|
host_numeric_pivot.unit_check(device_numeric_pivot);
|
|
|
|
//
|
|
// Perform calculation on host.
|
|
//
|
|
|
|
rocsparse_clients_spilu0_host<T, I, J>(spilu0_descr,
|
|
A,
|
|
h_singular_pivot_tolerance,
|
|
boost_enable,
|
|
h_boost_tolerance,
|
|
h_boost_value);
|
|
|
|
auto& cpu_symbolic_pivot = spilu0_descr.m_cpu_symbolic_singularity_position;
|
|
auto& cpu_numeric_near_pivot = spilu0_descr.m_cpu_numeric_near_singularity_position;
|
|
|
|
cpu_symbolic_pivot.unit_check(host_symbolic_pivot);
|
|
cpu_numeric_near_pivot.unit_check(host_numeric_pivot);
|
|
A.near_check_values(host_symbolic_pivot, host_numeric_pivot);
|
|
}
|
|
}
|
|
|
|
if(arg.timing)
|
|
{
|
|
|
|
size_t buffer_size_in_bytes = std::numeric_limits<size_t>::max();
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0_buffer_size(handle,
|
|
spilu0_descr,
|
|
A,
|
|
A,
|
|
rocsparse_spilu0_stage_compute,
|
|
&buffer_size_in_bytes,
|
|
p_error));
|
|
device_dense_vector<char> buffer(buffer_size_in_bytes);
|
|
CHECK_HIP_ERROR(hipMemset(buffer, 255 - 1, buffer_size_in_bytes));
|
|
|
|
const int32_t n_cold_calls = 2;
|
|
const int32_t n_sub_calls = arg.iters_inner;
|
|
const int32_t n_calls = arg.iters;
|
|
|
|
hipStream_t stream;
|
|
rocsparse_get_stream(handle, &stream);
|
|
|
|
for(int32_t iter = 0; iter < n_cold_calls; ++iter)
|
|
{
|
|
A.reinit_values();
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0(handle,
|
|
spilu0_descr,
|
|
A,
|
|
A,
|
|
rocsparse_spilu0_stage_compute,
|
|
buffer_size_in_bytes,
|
|
buffer,
|
|
p_error));
|
|
CHECK_HIP_ERROR(hipStreamSynchronize(stream));
|
|
}
|
|
|
|
std::vector<double> gpu_time(n_calls);
|
|
rocsparse_clients::timer t(stream);
|
|
for(int32_t iter = 0; iter < n_calls; ++iter)
|
|
{
|
|
gpu_time[iter] = 0;
|
|
for(int32_t sub_iter = 0; sub_iter < n_sub_calls; ++sub_iter)
|
|
{
|
|
A.reinit_values();
|
|
t.start();
|
|
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_spilu0(handle,
|
|
spilu0_descr,
|
|
A,
|
|
A,
|
|
rocsparse_spilu0_stage_compute,
|
|
buffer_size_in_bytes,
|
|
buffer,
|
|
p_error));
|
|
|
|
CHECK_HIP_ERROR(hipStreamSynchronize(stream));
|
|
const double t_microseconds = (t.stop() * 1000);
|
|
gpu_time[iter] += t_microseconds;
|
|
}
|
|
gpu_time[iter] /= n_sub_calls;
|
|
}
|
|
|
|
std::sort(gpu_time.begin(), gpu_time.end());
|
|
const int32_t mid = n_calls / 2;
|
|
const double gpu_time_used
|
|
= (n_calls % 2 == 0) ? (gpu_time[mid] + gpu_time[mid - 1]) / 2 : gpu_time[mid];
|
|
const rocsparse_format format = A.get_format();
|
|
|
|
switch(format)
|
|
{
|
|
case rocsparse_format_csc:
|
|
case rocsparse_format_ell:
|
|
case rocsparse_format_bell:
|
|
case rocsparse_format_sell:
|
|
case rocsparse_format_coo_aos:
|
|
case rocsparse_format_coo:
|
|
{
|
|
break;
|
|
}
|
|
case rocsparse_format_csr:
|
|
{
|
|
auto& device = A.template as<rocsparse_format_csr>().device();
|
|
|
|
double gbyte_count = csrilu0_gbyte_count<T>(device.m, device.nnz);
|
|
const double gpu_gbyte = get_gpu_gbyte(gpu_time_used, gbyte_count);
|
|
display_timing_info(display_key_t::M,
|
|
device.m,
|
|
display_key_t::nnz_A,
|
|
device.nnz,
|
|
display_key_t::bandwidth,
|
|
gpu_gbyte,
|
|
display_key_t::time_ms,
|
|
get_gpu_time_msec(gpu_time_used));
|
|
break;
|
|
}
|
|
case rocsparse_format_bsr:
|
|
{
|
|
auto& device = A.template as<rocsparse_format_bsr>().device();
|
|
double gbyte_count
|
|
= bsrilu0_gbyte_count<T>(device.mb, device.row_block_dim, device.nnzb);
|
|
const double gpu_gbyte = get_gpu_gbyte(gpu_time_used, gbyte_count);
|
|
display_timing_info(display_key_t::M,
|
|
device.mb,
|
|
display_key_t::nnzb,
|
|
device.nnzb,
|
|
display_key_t::bdim,
|
|
device.row_block_dim,
|
|
display_key_t::bandwidth,
|
|
gpu_gbyte,
|
|
display_key_t::time_ms,
|
|
get_gpu_time_msec(gpu_time_used));
|
|
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
void testing_spilu0_extra(const Arguments& arg) {}
|
|
|
|
#define INSTANTIATE(I, J, T) \
|
|
template void testing_spilu0_bad_arg<I, J, T>(const Arguments& arg); \
|
|
template void testing_spilu0<I, J, T>(const Arguments& arg)
|
|
|
|
INSTANTIATE(int32_t, int32_t, float);
|
|
INSTANTIATE(int32_t, int32_t, double);
|
|
INSTANTIATE(int32_t, int32_t, rocsparse_float_complex);
|
|
INSTANTIATE(int32_t, int32_t, rocsparse_double_complex);
|
|
|
|
INSTANTIATE(int64_t, int32_t, float);
|
|
INSTANTIATE(int64_t, int32_t, double);
|
|
INSTANTIATE(int64_t, int32_t, rocsparse_float_complex);
|
|
INSTANTIATE(int64_t, int32_t, rocsparse_double_complex);
|
|
|
|
INSTANTIATE(int64_t, int64_t, float);
|
|
INSTANTIATE(int64_t, int64_t, double);
|
|
INSTANTIATE(int64_t, int64_t, rocsparse_float_complex);
|
|
INSTANTIATE(int64_t, int64_t, rocsparse_double_complex);
|
|
|
|
#undef INSTANTIATE
|