derek.holloway
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657 lines
31 KiB
C++
657 lines
31 KiB
C++
/*! \file */
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/* ************************************************************************
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* Copyright (C) 2020-2026 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 "rocsparse_enum.hpp"
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#include "testing.hpp"
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#include "testing_csrilu0.hpp"
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#include <memory>
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// Check that the product of the ILU factors L*U matches the original matrix A.
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template <typename T>
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static void check_bsr_lu(const T* __restrict__ factors,
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const T* __restrict__ orig,
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rocsparse_int bd,
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rocsparse_direction direction,
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floating_data_t<T> tol)
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{
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const size_t bds = static_cast<size_t>(bd);
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auto LU = std::make_unique<T[]>(bds * bds);
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for(rocsparse_int i = 0; i < bd; i++)
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{
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for(rocsparse_int j = 0; j < bd; j++)
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{
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T sum = static_cast<T>(0);
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for(rocsparse_int k = 0; k < bd; k++)
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{
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T Lik;
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if(k > i)
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Lik = static_cast<T>(0);
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else if(k == i)
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Lik = static_cast<T>(1);
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else
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Lik = (direction == rocsparse_direction_row) ? factors[bds * i + k]
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: factors[bds * k + i];
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T Ukj;
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if(k > j)
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Ukj = static_cast<T>(0);
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else
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Ukj = (direction == rocsparse_direction_row) ? factors[bds * k + j]
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: factors[bds * j + k];
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sum = sum + Lik * Ukj;
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}
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if(direction == rocsparse_direction_row)
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LU[bds * i + j] = sum;
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else
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LU[bds * j + i] = sum;
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}
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}
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near_check_general<T>(bd, bd, orig, bd, LU.get(), bd, tol);
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}
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template <typename T>
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void testing_bsrilu0_bad_arg(const Arguments& arg)
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{
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static const size_t safe_size = 100;
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// Create rocsparse handle
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rocsparse_local_handle local_handle;
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// Create matrix descriptor
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rocsparse_local_mat_descr local_descr;
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// Create matrix info
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rocsparse_local_mat_info local_info;
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size_t h_buffer_size;
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rocsparse_handle handle = local_handle;
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rocsparse_direction dir = rocsparse_direction_row;
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rocsparse_int mb = safe_size;
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rocsparse_int nnzb = safe_size;
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const rocsparse_mat_descr descr = local_descr;
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T* bsr_val = (T*)0x4;
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const rocsparse_int* bsr_row_ptr = (const rocsparse_int*)0x4;
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const rocsparse_int* bsr_col_ind = (const rocsparse_int*)0x4;
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rocsparse_int block_dim = safe_size;
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rocsparse_mat_info info = local_info;
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rocsparse_analysis_policy analysis = rocsparse_analysis_policy_force;
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rocsparse_solve_policy solve = rocsparse_solve_policy_auto;
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rocsparse_solve_policy policy = rocsparse_solve_policy_auto;
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size_t* buffer_size = &h_buffer_size;
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void* temp_buffer = (void*)0x4;
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#define PARAMS_BUFFER_SIZE \
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handle, dir, mb, nnzb, descr, bsr_val, bsr_row_ptr, bsr_col_ind, block_dim, info, buffer_size
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#define PARAMS_ANALYSIS \
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handle, dir, mb, nnzb, descr, bsr_val, bsr_row_ptr, bsr_col_ind, block_dim, info, analysis, \
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solve, temp_buffer
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#define PARAMS \
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handle, dir, mb, nnzb, descr, bsr_val, bsr_row_ptr, bsr_col_ind, block_dim, info, policy, \
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temp_buffer
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bad_arg_analysis(rocsparse_bsrilu0_buffer_size<T>, PARAMS_BUFFER_SIZE);
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bad_arg_analysis(rocsparse_bsrilu0_analysis<T>, PARAMS_ANALYSIS);
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bad_arg_analysis(rocsparse_bsrilu0<T>, PARAMS);
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CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_storage_mode(descr, rocsparse_storage_mode_unsorted));
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EXPECT_ROCSPARSE_STATUS(rocsparse_bsrilu0_buffer_size<T>(PARAMS_BUFFER_SIZE),
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rocsparse_status_requires_sorted_storage);
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EXPECT_ROCSPARSE_STATUS(rocsparse_bsrilu0_analysis<T>(PARAMS_ANALYSIS),
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rocsparse_status_requires_sorted_storage);
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EXPECT_ROCSPARSE_STATUS(rocsparse_bsrilu0<T>(PARAMS), rocsparse_status_requires_sorted_storage);
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CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_storage_mode(descr, rocsparse_storage_mode_sorted));
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// block_dim == 0
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block_dim = 0;
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EXPECT_ROCSPARSE_STATUS(rocsparse_bsrilu0_buffer_size<T>(PARAMS_BUFFER_SIZE),
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rocsparse_status_invalid_size);
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EXPECT_ROCSPARSE_STATUS(rocsparse_bsrilu0_analysis<T>(PARAMS_ANALYSIS),
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rocsparse_status_invalid_size);
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EXPECT_ROCSPARSE_STATUS(rocsparse_bsrilu0<T>(PARAMS), rocsparse_status_invalid_size);
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block_dim = safe_size;
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#undef PARAMS_BUFFER_SIZE
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#undef PARAMS_ANALYSIS
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#undef PARAMS
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// Test rocsparse_bsrilu0_zero_pivot()
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rocsparse_int position;
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EXPECT_ROCSPARSE_STATUS(rocsparse_bsrilu0_zero_pivot(nullptr, info, &position),
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rocsparse_status_invalid_handle);
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// Test rocsparse_bsrilu0_clear()
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EXPECT_ROCSPARSE_STATUS(rocsparse_bsrilu0_clear(nullptr, info),
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rocsparse_status_invalid_handle);
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EXPECT_ROCSPARSE_STATUS(rocsparse_bsrilu0_clear(handle, nullptr),
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rocsparse_status_invalid_pointer);
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// Additional tests for invalid zero matrices
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EXPECT_ROCSPARSE_STATUS(rocsparse_bsrilu0_buffer_size<T>(handle,
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rocsparse_direction_row,
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safe_size,
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safe_size,
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descr,
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nullptr,
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bsr_row_ptr,
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nullptr,
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safe_size,
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info,
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buffer_size),
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rocsparse_status_invalid_pointer);
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EXPECT_ROCSPARSE_STATUS(rocsparse_bsrilu0_analysis<T>(handle,
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rocsparse_direction_row,
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safe_size,
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safe_size,
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descr,
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nullptr,
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bsr_row_ptr,
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nullptr,
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safe_size,
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info,
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rocsparse_analysis_policy_reuse,
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rocsparse_solve_policy_auto,
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temp_buffer),
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rocsparse_status_invalid_pointer);
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EXPECT_ROCSPARSE_STATUS(rocsparse_bsrilu0<T>(handle,
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rocsparse_direction_row,
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safe_size,
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safe_size,
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descr,
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nullptr,
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bsr_row_ptr,
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nullptr,
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safe_size,
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info,
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rocsparse_solve_policy_auto,
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temp_buffer),
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rocsparse_status_invalid_pointer);
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}
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template <typename T>
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void testing_bsrilu0(const Arguments& arg)
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{
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static constexpr bool to_int = false;
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static constexpr bool full_rank = false;
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rocsparse_matrix_factory<T> matrix_factory(arg, to_int, full_rank);
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rocsparse_int M = arg.M;
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rocsparse_int N = arg.N;
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rocsparse_int block_dim = arg.block_dim;
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rocsparse_analysis_policy apol = arg.apol;
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rocsparse_solve_policy spol = arg.spol;
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int boost = arg.numericboost;
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T h_boost_tol = static_cast<T>(arg.boosttol);
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rocsparse_index_base base = arg.baseA;
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rocsparse_direction direction = arg.direction;
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T h_boost_val = arg.get_boostval<T>();
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rocsparse_int Mb = (M + block_dim - 1) / block_dim;
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rocsparse_int Nb = (N + block_dim - 1) / block_dim;
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// Create rocsparse handle
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rocsparse_local_handle handle(arg);
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// Create matrix descriptor
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rocsparse_local_mat_descr descr;
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// Create matrix info
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rocsparse_local_mat_info info;
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// Set matrix index base
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CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_index_base(descr, base));
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if(M != N)
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{
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return;
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}
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// Allocate host memory for output BSR matrix
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host_vector<rocsparse_int> hbsr_row_ptr;
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host_vector<rocsparse_int> hbsr_col_ind;
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host_vector<T> hbsr_val_1;
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// Generate BSR matrix on host (or read from file)
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rocsparse_int nnzb;
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matrix_factory.init_bsr(
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hbsr_row_ptr, hbsr_col_ind, hbsr_val_1, direction, Mb, Nb, nnzb, block_dim, base);
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M = Mb * block_dim;
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host_vector<T> hbsr_val_orig(hbsr_val_1);
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host_vector<T> hbsr_val_gold(hbsr_val_1);
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host_vector<T> hbsr_val_2(hbsr_val_1);
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// Allocate device memory for BSR matrix
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device_vector<rocsparse_int> dbsr_row_ptr(Mb + 1);
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device_vector<rocsparse_int> dbsr_col_ind(nnzb);
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device_vector<T> dbsr_val_1(size_t(nnzb) * block_dim * block_dim);
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device_vector<T> dbsr_val_2(size_t(nnzb) * block_dim * block_dim);
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// Copy BSR matrix from host to device
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CHECK_HIP_ERROR(hipMemcpy(dbsr_row_ptr,
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hbsr_row_ptr.data(),
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sizeof(rocsparse_int) * (Mb + 1),
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hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(
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dbsr_col_ind, hbsr_col_ind.data(), sizeof(rocsparse_int) * nnzb, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dbsr_val_1,
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hbsr_val_1.data(),
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sizeof(T) * nnzb * block_dim * block_dim,
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hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dbsr_val_2,
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hbsr_val_2.data(),
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sizeof(T) * nnzb * block_dim * block_dim,
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hipMemcpyHostToDevice));
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// Allocate host memory for pivots
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host_vector<rocsparse_int> hanalysis_pivot_1(1);
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host_vector<rocsparse_int> hanalysis_pivot_2(1);
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host_vector<rocsparse_int> hanalysis_pivot_gold(1);
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host_vector<rocsparse_int> hsolve_pivot_1(1);
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host_vector<rocsparse_int> hsolve_pivot_2(1);
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host_vector<rocsparse_int> hsolve_pivot_gold(1);
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// Allocate device memory for pivots
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device_vector<rocsparse_int> danalysis_pivot_2(1);
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device_vector<rocsparse_int> dsolve_pivot_2(1);
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device_vector<T> d_boost_tol(1);
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device_vector<T> d_boost_val(1);
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// Obtain required buffer size
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size_t buffer_size;
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CHECK_ROCSPARSE_ERROR(rocsparse_bsrilu0_buffer_size<T>(handle,
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direction,
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Mb,
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nnzb,
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descr,
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dbsr_val_1,
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dbsr_row_ptr,
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dbsr_col_ind,
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block_dim,
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info,
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&buffer_size));
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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_HIP_ERROR(hipMemcpy(d_boost_tol, &h_boost_tol, sizeof(T), hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(d_boost_val, &h_boost_val, sizeof(T), hipMemcpyHostToDevice));
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// Perform analysis step
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// Pointer mode host
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CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
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CHECK_ROCSPARSE_ERROR(rocsparse_bsrilu0_analysis<T>(handle,
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direction,
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Mb,
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nnzb,
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descr,
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dbsr_val_1,
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dbsr_row_ptr,
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dbsr_col_ind,
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block_dim,
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info,
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apol,
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spol,
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dbuffer));
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{
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auto st = rocsparse_bsrilu0_zero_pivot(handle, info, hanalysis_pivot_1);
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EXPECT_ROCSPARSE_STATUS(st,
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(hanalysis_pivot_1[0] != -1) ? rocsparse_status_zero_pivot
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: rocsparse_status_success);
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}
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// Pointer mode device
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CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device));
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CHECK_ROCSPARSE_ERROR(rocsparse_bsrilu0_analysis<T>(handle,
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direction,
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Mb,
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nnzb,
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descr,
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dbsr_val_2,
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dbsr_row_ptr,
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dbsr_col_ind,
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block_dim,
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info,
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apol,
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spol,
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dbuffer));
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EXPECT_ROCSPARSE_STATUS(rocsparse_bsrilu0_zero_pivot(handle, info, danalysis_pivot_2),
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(hanalysis_pivot_1[0] != -1) ? rocsparse_status_zero_pivot
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: rocsparse_status_success);
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// Perform solve step
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// Pointer mode host
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CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
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CHECK_ROCSPARSE_ERROR(rocsparse_bsrilu0_numeric_boost<T>(
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handle, info, boost, get_boost_tol(&h_boost_tol), &h_boost_val));
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CHECK_ROCSPARSE_ERROR(testing::rocsparse_bsrilu0<T>(handle,
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direction,
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Mb,
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nnzb,
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descr,
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dbsr_val_1,
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dbsr_row_ptr,
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dbsr_col_ind,
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block_dim,
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info,
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spol,
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dbuffer));
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{
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auto st = rocsparse_bsrilu0_zero_pivot(handle, info, hsolve_pivot_1);
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EXPECT_ROCSPARSE_STATUS(st,
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(hsolve_pivot_1[0] != -1) ? rocsparse_status_zero_pivot
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: rocsparse_status_success);
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}
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// Pointer mode device
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CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device));
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CHECK_ROCSPARSE_ERROR(rocsparse_bsrilu0_numeric_boost<T>(
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handle, info, boost, get_boost_tol(d_boost_tol), d_boost_val));
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CHECK_ROCSPARSE_ERROR(testing::rocsparse_bsrilu0<T>(handle,
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direction,
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Mb,
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nnzb,
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descr,
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dbsr_val_2,
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dbsr_row_ptr,
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dbsr_col_ind,
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block_dim,
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info,
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spol,
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dbuffer));
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EXPECT_ROCSPARSE_STATUS(rocsparse_bsrilu0_zero_pivot(handle, info, dsolve_pivot_2),
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(hsolve_pivot_1[0] != -1) ? rocsparse_status_zero_pivot
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: rocsparse_status_success);
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// Copy output to host
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CHECK_HIP_ERROR(hipMemcpy(hbsr_val_1,
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dbsr_val_1,
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sizeof(T) * nnzb * block_dim * block_dim,
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hipMemcpyDeviceToHost));
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CHECK_HIP_ERROR(hipMemcpy(hbsr_val_2,
|
|
dbsr_val_2,
|
|
sizeof(T) * nnzb * block_dim * block_dim,
|
|
hipMemcpyDeviceToHost));
|
|
CHECK_HIP_ERROR(hipMemcpy(
|
|
hanalysis_pivot_2, danalysis_pivot_2, sizeof(rocsparse_int), hipMemcpyDeviceToHost));
|
|
CHECK_HIP_ERROR(hipMemcpy(
|
|
hsolve_pivot_2, dsolve_pivot_2, sizeof(rocsparse_int), hipMemcpyDeviceToHost));
|
|
|
|
// CPU bsrilu0
|
|
rocsparse_int numerical_pivot;
|
|
rocsparse_int structural_pivot;
|
|
host_bsrilu0<T>(direction,
|
|
Mb,
|
|
hbsr_row_ptr,
|
|
hbsr_col_ind,
|
|
hbsr_val_gold,
|
|
block_dim,
|
|
base,
|
|
&structural_pivot,
|
|
&numerical_pivot,
|
|
boost,
|
|
*get_boost_tol(&h_boost_tol),
|
|
h_boost_val);
|
|
|
|
hanalysis_pivot_gold[0] = structural_pivot;
|
|
|
|
// Solve pivot gives the first numerical or structural non-invertible block
|
|
if(structural_pivot == -1)
|
|
{
|
|
hsolve_pivot_gold[0] = numerical_pivot;
|
|
}
|
|
else if(numerical_pivot == -1)
|
|
{
|
|
hsolve_pivot_gold[0] = structural_pivot;
|
|
}
|
|
else
|
|
{
|
|
hsolve_pivot_gold[0] = std::min(numerical_pivot, structural_pivot);
|
|
}
|
|
|
|
// Check pivots
|
|
hanalysis_pivot_gold.unit_check(hanalysis_pivot_1);
|
|
hanalysis_pivot_gold.unit_check(hanalysis_pivot_2);
|
|
hsolve_pivot_gold.unit_check(hsolve_pivot_1);
|
|
hsolve_pivot_gold.unit_check(hsolve_pivot_2);
|
|
|
|
// Check solution vector if no pivot has been found
|
|
if(hanalysis_pivot_gold[0] == -1 && hsolve_pivot_gold[0] == -1)
|
|
{
|
|
if(ROCSPARSE_REPRODUCIBILITY)
|
|
{
|
|
rocsparse_reproducibility::save(
|
|
"P pointer mode host", hbsr_val_1, "P pointer mode device", hbsr_val_2);
|
|
}
|
|
|
|
hbsr_val_gold.near_check(hbsr_val_1);
|
|
hbsr_val_gold.near_check(hbsr_val_2);
|
|
|
|
if(Mb == 1)
|
|
{
|
|
// Mb == 1: ILU(0) is exact LU. Verify L*U = A independently for CPU and GPU,
|
|
// instead of comparing them against each other.
|
|
const rocsparse_int bd = block_dim;
|
|
const floating_data_t<T> tol
|
|
= static_cast<floating_data_t<T>>(bd) * get_near_check_tol<T>(arg);
|
|
|
|
check_bsr_lu<T>(
|
|
hbsr_val_gold.data(), hbsr_val_orig.data(), bd, direction, tol); // CPU
|
|
check_bsr_lu<T>(hbsr_val_1.data(),
|
|
hbsr_val_orig.data(),
|
|
bd,
|
|
direction,
|
|
tol); // GPU pointer mode host
|
|
check_bsr_lu<T>(hbsr_val_2.data(),
|
|
hbsr_val_orig.data(),
|
|
bd,
|
|
direction,
|
|
tol); // GPU pointer mode device
|
|
}
|
|
}
|
|
else
|
|
{
|
|
if(ROCSPARSE_REPRODUCIBILITY)
|
|
{
|
|
rocsparse_reproducibility::save("Pivot analysis pointer mode host",
|
|
hanalysis_pivot_1,
|
|
"Pivot analysis pointer mode device",
|
|
hanalysis_pivot_2,
|
|
"Pivot solve pointer mode host",
|
|
hsolve_pivot_1,
|
|
"Pivot solve pointer mode device",
|
|
hsolve_pivot_2);
|
|
}
|
|
}
|
|
}
|
|
|
|
if(arg.timing)
|
|
{
|
|
int number_cold_calls = 2;
|
|
int number_hot_calls = arg.iters;
|
|
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_bsrilu0_numeric_boost<T>(
|
|
handle, info, 0, get_boost_tol((T*)nullptr), nullptr));
|
|
|
|
// Warm up
|
|
for(int iter = 0; iter < number_cold_calls; ++iter)
|
|
{
|
|
CHECK_HIP_ERROR(hipMemcpy(dbsr_val_1,
|
|
hbsr_val_orig,
|
|
sizeof(T) * nnzb * block_dim * block_dim,
|
|
hipMemcpyHostToDevice));
|
|
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_bsrilu0_analysis<T>(handle,
|
|
direction,
|
|
Mb,
|
|
nnzb,
|
|
descr,
|
|
dbsr_val_1,
|
|
dbsr_row_ptr,
|
|
dbsr_col_ind,
|
|
block_dim,
|
|
info,
|
|
apol,
|
|
spol,
|
|
dbuffer));
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_bsrilu0<T>(handle,
|
|
direction,
|
|
Mb,
|
|
nnzb,
|
|
descr,
|
|
dbsr_val_1,
|
|
dbsr_row_ptr,
|
|
dbsr_col_ind,
|
|
block_dim,
|
|
info,
|
|
spol,
|
|
dbuffer));
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_bsrilu0_clear(handle, info));
|
|
}
|
|
|
|
CHECK_HIP_ERROR(hipMemcpy(dbsr_val_1,
|
|
hbsr_val_orig,
|
|
sizeof(T) * nnzb * block_dim * block_dim,
|
|
hipMemcpyHostToDevice));
|
|
|
|
double gpu_analysis_time_used = get_time_us();
|
|
|
|
// Analysis run
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_bsrilu0_analysis<T>(handle,
|
|
direction,
|
|
Mb,
|
|
nnzb,
|
|
descr,
|
|
dbsr_val_1,
|
|
dbsr_row_ptr,
|
|
dbsr_col_ind,
|
|
block_dim,
|
|
info,
|
|
apol,
|
|
spol,
|
|
dbuffer));
|
|
|
|
gpu_analysis_time_used = (get_time_us() - gpu_analysis_time_used);
|
|
|
|
EXPECT_ROCSPARSE_STATUS(rocsparse_bsrilu0_zero_pivot(handle, info, hanalysis_pivot_1),
|
|
(hanalysis_pivot_1[0] != -1) ? rocsparse_status_zero_pivot
|
|
: rocsparse_status_success);
|
|
|
|
double gpu_solve_time_used = 0;
|
|
|
|
// Solve run
|
|
for(int iter = 0; iter < number_hot_calls; ++iter)
|
|
{
|
|
CHECK_HIP_ERROR(hipMemcpy(dbsr_val_1,
|
|
hbsr_val_orig,
|
|
sizeof(T) * nnzb * block_dim * block_dim,
|
|
hipMemcpyHostToDevice));
|
|
|
|
double temp = get_time_us();
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_bsrilu0<T>(handle,
|
|
direction,
|
|
Mb,
|
|
nnzb,
|
|
descr,
|
|
dbsr_val_1,
|
|
dbsr_row_ptr,
|
|
dbsr_col_ind,
|
|
block_dim,
|
|
info,
|
|
spol,
|
|
dbuffer));
|
|
gpu_solve_time_used += (get_time_us() - temp);
|
|
}
|
|
|
|
EXPECT_ROCSPARSE_STATUS(rocsparse_bsrilu0_zero_pivot(handle, info, hsolve_pivot_1),
|
|
(hsolve_pivot_1[0] != -1) ? rocsparse_status_zero_pivot
|
|
: rocsparse_status_success);
|
|
|
|
gpu_solve_time_used = gpu_solve_time_used / number_hot_calls;
|
|
|
|
double gbyte_count = bsrilu0_gbyte_count<T>(Mb, block_dim, nnzb);
|
|
|
|
rocsparse_int pivot = -1;
|
|
if(hanalysis_pivot_1[0] == -1)
|
|
{
|
|
pivot = hsolve_pivot_1[0];
|
|
}
|
|
else if(hsolve_pivot_1[0] == -1)
|
|
{
|
|
pivot = hanalysis_pivot_1[0];
|
|
}
|
|
else
|
|
{
|
|
pivot = std::min(hanalysis_pivot_1[0], hsolve_pivot_1[0]);
|
|
}
|
|
|
|
double gpu_gbyte = get_gpu_gbyte(gpu_solve_time_used, gbyte_count);
|
|
|
|
display_timing_info(display_key_t::M,
|
|
M,
|
|
display_key_t::nnzb,
|
|
nnzb,
|
|
display_key_t::bdim,
|
|
block_dim,
|
|
display_key_t::pivot,
|
|
pivot,
|
|
display_key_t::bdir,
|
|
rocsparse_direction2string(direction),
|
|
display_key_t::analysis_policy,
|
|
rocsparse_analysis2string(apol),
|
|
display_key_t::solve_policy,
|
|
rocsparse_solve2string(spol),
|
|
display_key_t::analysis_time_ms,
|
|
get_gpu_time_msec(gpu_analysis_time_used),
|
|
display_key_t::bandwidth,
|
|
gpu_gbyte,
|
|
display_key_t::time_ms,
|
|
get_gpu_time_msec(gpu_solve_time_used));
|
|
}
|
|
|
|
// Clear bsrilu0 meta data
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_bsrilu0_clear(handle, info));
|
|
|
|
// Free buffer
|
|
CHECK_HIP_ERROR(rocsparse_hipFree(dbuffer));
|
|
}
|
|
|
|
#define INSTANTIATE(TYPE) \
|
|
template void testing_bsrilu0_bad_arg<TYPE>(const Arguments& arg); \
|
|
template void testing_bsrilu0<TYPE>(const Arguments& arg)
|
|
INSTANTIATE(float);
|
|
INSTANTIATE(double);
|
|
INSTANTIATE(rocsparse_float_complex);
|
|
INSTANTIATE(rocsparse_double_complex);
|
|
void testing_bsrilu0_extra(const Arguments& arg) {}
|