/*! \file */ /* ************************************************************************ * Copyright (C) 2026 Advanced Micro Devices, Inc. All rights Reserved. * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to deal * in the Software without restriction, including without limitation the rights * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell * copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in * all copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN * THE SOFTWARE. * * ************************************************************************ */ #include "testing_spildlt0.hpp" #include "rocsparse_clients_objects.hpp" #include "rocsparse_clients_spmat_descr.hpp" #include "rocsparse_enum.hpp" #include "testing.hpp" // rocsparse_spildlt0_input_diag is deprecated but still exercised here (to check it keeps // working). Referencing the [[deprecated]] enumerator directly would raise // -Wdeprecated-declarations under -Wall, so use its integer value instead (mirrors // deprecated_rocsparse_indextype_u16 in the library). #define deprecated_rocsparse_spildlt0_input_diag static_cast(7) // Host reference for ILDLt factorization (templated on index types I, J) template static void host_csrildlt0_ref(J M, const I* __restrict__ csr_row_ptr, const J* __restrict__ csr_col_ind, T* __restrict__ csr_val, floating_data_t* __restrict__ diag, rocsparse_index_base base, int64_t* __restrict__ struct_pivot, int64_t* __restrict__ numeric_pivot, int64_t* __restrict__ singular_pivot, double tol) { *struct_pivot = -1; *numeric_pivot = -1; *singular_pivot = -1; std::vector diag_offset(M, -1); std::vector nnz_entries(M, -1); for(J ai = 0; ai < M; ++ai) { const I row_begin = csr_row_ptr[ai] - base; const I row_end = csr_row_ptr[ai + 1] - base; J j; for(j = row_begin; j < row_end; ++j) { nnz_entries[csr_col_ind[j] - base] = j; } floating_data_t diag_sum = static_cast>(0); bool has_diag = false; for(j = row_begin; j < row_end; ++j) { const J col_j = csr_col_ind[j] - base; if(col_j == ai) { has_diag = true; break; } if(col_j > ai) { break; } const floating_data_t d_j = diag[col_j]; if(std::abs(d_j) <= tol) { *singular_pivot = (*singular_pivot == -1) ? (col_j + base) : std::min(*singular_pivot, int64_t(col_j + base)); } if(d_j == static_cast>(0)) { *numeric_pivot = (*numeric_pivot == -1) ? (col_j + base) : std::min(*numeric_pivot, int64_t(col_j + base)); continue; } const floating_data_t inv_d_j = static_cast>(1) / d_j; const I row_begin_j = csr_row_ptr[col_j] - base; const I row_diag_j = diag_offset[col_j]; T local_sum = static_cast(0); for(I k = row_begin_j; k < row_diag_j; ++k) { const J col_k = csr_col_ind[k] - base; if(nnz_entries[col_k] != -1) { const I idx = nnz_entries[col_k]; // L_{ai,k} * D_k * conj(L_{col_j,k}) local_sum = std::fma(csr_val[idx], static_cast(diag[col_k]) * rocsparse_conj(csr_val[k]), local_sum); } } const T val_j = (csr_val[j] - local_sum) * static_cast(inv_d_j); csr_val[j] = val_j; // Accumulate |L_{ai,col_j}|^2 * D_{col_j} (real) const floating_data_t re_l = std::real(val_j); const floating_data_t im_l = std::imag(val_j); diag_sum = std::fma(std::fma(re_l, re_l, im_l * im_l), d_j, diag_sum); } if(!has_diag) { *struct_pivot = (*struct_pivot == -1) ? (ai + base) : std::min(*struct_pivot, int64_t(ai + base)); *numeric_pivot = (*numeric_pivot == -1) ? (ai + base) : std::min(*numeric_pivot, int64_t(ai + base)); } else { diag_offset[ai] = j; const floating_data_t d_i = std::real(csr_val[j]) - diag_sum; if(std::abs(d_i) <= tol) { *singular_pivot = (*singular_pivot == -1) ? (ai + base) : std::min(*singular_pivot, int64_t(ai + base)); } if(d_i == static_cast>(0)) { *numeric_pivot = (*numeric_pivot == -1) ? (ai + base) : std::min(*numeric_pivot, int64_t(ai + base)); } diag[ai] = d_i; csr_val[j] = static_cast(d_i); // D stored in-place on L's (implicit unit) diagonal } for(j = row_begin; j < row_end; ++j) { nnz_entries[csr_col_ind[j] - base] = -1; } } if(*struct_pivot != -1) { *numeric_pivot = (*numeric_pivot == -1) ? (*struct_pivot) : std::min(*numeric_pivot, *struct_pivot); } if(*numeric_pivot != -1) { *singular_pivot = (*singular_pivot == -1) ? (*numeric_pivot) : std::min(*singular_pivot, *numeric_pivot); } } namespace rocsparse_clients { class spildlt0_descr { private: rocsparse_handle m_handle{}; rocsparse_spildlt0_descr m_descr{}; public: host_dense_vector m_cpu_symbolic_singularity_position{}; host_dense_vector m_cpu_numeric_exact_singularity_position{}; host_dense_vector m_cpu_numeric_near_singularity_position{}; host_dense_vector m_host_symbolic_singularity_position{}; host_dense_vector m_host_numeric_singularity_position{}; device_dense_vector m_device_symbolic_singularity_position{}; device_dense_vector m_device_numeric_singularity_position{}; spildlt0_descr(rocsparse_handle handle, int64_t batch_count) : m_handle(handle) , m_cpu_symbolic_singularity_position(batch_count) , m_cpu_numeric_exact_singularity_position(batch_count) , m_cpu_numeric_near_singularity_position(batch_count) , m_host_symbolic_singularity_position(batch_count) , m_host_numeric_singularity_position(batch_count) , m_device_symbolic_singularity_position(batch_count) , m_device_numeric_singularity_position(batch_count) { ROCSPARSE_CLIENTS_ROUTINE_TRACE; rocsparse_error* p_error = nullptr; const rocsparse_status status = rocsparse_spildlt0_descr_create(handle, &this->m_descr, p_error); if(status != rocsparse_status_success) { throw(status); } } ~spildlt0_descr() { ROCSPARSE_CLIENTS_ROUTINE_TRACE; rocsparse_error* p_error = nullptr; std::ignore = rocsparse_spildlt0_descr_destroy(this->m_handle, this->m_descr, p_error); } inline operator rocsparse_spildlt0_descr&() { return this->m_descr; } inline operator const rocsparse_spildlt0_descr&() const { return this->m_descr; } }; } template void testing_spildlt0_set_input_bad_arg(const Arguments& arg) { rocsparse_error* p_error = nullptr; rocsparse_local_handle local_handle; rocsparse_spildlt0_descr spildlt0_descr = (rocsparse_spildlt0_descr)0x4; rocsparse_handle handle = local_handle; static constexpr int nex = 2; static const int ex[nex] = {4, 5}; const rocsparse_spildlt0_input input = rocsparse_spildlt0_input_alg; void* data = (void*)0x4; size_t data_size_in_bytes = sizeof(input); select_bad_arg_analysis(rocsparse_spildlt0_set_input, nex, ex, handle, //0 spildlt0_descr, //1 input, //2 data, //3 data_size_in_bytes, //4 p_error); // 5 CHECK_ROCSPARSE_ERROR(rocsparse_spildlt0_descr_create(handle, &spildlt0_descr, p_error)); for(auto e : {rocsparse_spildlt0_input_alg, rocsparse_spildlt0_input_analysis_policy, rocsparse_spildlt0_input_compute_datatype, rocsparse_spildlt0_input_boost_enable, rocsparse_spildlt0_input_boost_tolerance, rocsparse_spildlt0_input_boost_value, rocsparse_spildlt0_input_singularity_tolerance, deprecated_rocsparse_spildlt0_input_diag}) { switch(e) { case rocsparse_spildlt0_input_alg: case rocsparse_spildlt0_input_analysis_policy: case rocsparse_spildlt0_input_compute_datatype: case rocsparse_spildlt0_input_boost_enable: case rocsparse_spildlt0_input_boost_tolerance: case rocsparse_spildlt0_input_boost_value: case rocsparse_spildlt0_input_singularity_tolerance: case deprecated_rocsparse_spildlt0_input_diag: { EXPECT_ROCSPARSE_STATUS( rocsparse_spildlt0_set_input(handle, spildlt0_descr, e, data, 0, p_error), rocsparse_status_invalid_value); break; } } } // // Singularity tolerance must be double // EXPECT_ROCSPARSE_STATUS( rocsparse_spildlt0_set_input(handle, spildlt0_descr, rocsparse_spildlt0_input_singularity_tolerance, data, sizeof(float), p_error), rocsparse_status_invalid_value); CHECK_ROCSPARSE_ERROR(rocsparse_spildlt0_descr_destroy(handle, spildlt0_descr, p_error)); } template void testing_spildlt0_buffer_size_bad_arg(const Arguments& arg) { rocsparse_local_handle local_handle; rocsparse_handle handle = local_handle; rocsparse_spildlt0_descr spildlt0_descr = (rocsparse_spildlt0_descr)0x4; rocsparse_spmat_descr A = (rocsparse_spmat_descr)0x4; rocsparse_spmat_descr P = (rocsparse_spmat_descr)0x4; rocsparse_spildlt0_stage spildlt0_stage = rocsparse_spildlt0_stage_analysis; rocsparse_error* p_error = nullptr; { size_t* p_buffer_size_in_bytes = (size_t*)0x4; static constexpr int nex = 1; static const int ex[nex] = {6}; select_bad_arg_analysis(rocsparse_spildlt0_buffer_size, nex, ex, handle, spildlt0_descr, A, P, spildlt0_stage, p_buffer_size_in_bytes, p_error); } } template void testing_spildlt0_get_output_bad_arg(const Arguments& arg) { rocsparse_local_handle local_handle; rocsparse_handle handle = local_handle; rocsparse_spildlt0_descr spildlt0_descr = (rocsparse_spildlt0_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_spildlt0_output output = rocsparse_spildlt0_output_singularity_position; select_bad_arg_analysis(rocsparse_spildlt0_get_output, nex, ex, handle, spildlt0_descr, output, data, data_size_in_bytes, p_error); } template void testing_spildlt0_analysis_bad_arg(const Arguments& arg) { rocsparse_local_handle local_handle; rocsparse_handle handle = local_handle; rocsparse_spildlt0_descr spildlt0_descr = (rocsparse_spildlt0_descr)0x4; rocsparse_spmat_descr A = (rocsparse_spmat_descr)0x4; rocsparse_spmat_descr P = (rocsparse_spmat_descr)0x4; rocsparse_spildlt0_stage spildlt0_stage = rocsparse_spildlt0_stage_analysis; void* buffer = (void*)0x4; rocsparse_error* p_error = nullptr; { const size_t buffer_size_in_bytes = 1; #define PARAMS handle, spildlt0_descr, A, P, spildlt0_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_spildlt0, nex, ex, PARAMS); #undef PARAMS } } template void testing_spildlt0_bad_arg(const Arguments& arg) { testing_spildlt0_buffer_size_bad_arg(arg); testing_spildlt0_analysis_bad_arg(arg); testing_spildlt0_set_input_bad_arg(arg); testing_spildlt0_get_output_bad_arg(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 A(4); rocsparse_spmat_descr P = A; host_scalar hsingularity_tolerance(1); hsingularity_tolerance[0] = 1.0e-5; device_scalar dsingularity_tolerance(hsingularity_tolerance); // Allocate a diag vector on device (size = 4, same as tridiag matrix dimension) device_dense_vector> d_diag(4); for(auto analysis_policy : {rocsparse_analysis_policy_force, rocsparse_analysis_policy_reuse}) { rocsparse_clients::spildlt0_descr spildlt0_descr(handle, 1); const rocsparse_spildlt0_alg alg = rocsparse_spildlt0_alg_default; const rocsparse_datatype compute_datatype = get_datatype(); CHECK_ROCSPARSE_ERROR(rocsparse_spildlt0_set_input( handle, spildlt0_descr, rocsparse_spildlt0_input_alg, &alg, sizeof(alg), p_error)); CHECK_ROCSPARSE_ERROR(rocsparse_spildlt0_set_input(handle, spildlt0_descr, rocsparse_spildlt0_input_analysis_policy, &analysis_policy, sizeof(analysis_policy), p_error)); CHECK_ROCSPARSE_ERROR( rocsparse_spildlt0_set_input(handle, spildlt0_descr, rocsparse_spildlt0_input_compute_datatype, &compute_datatype, sizeof(compute_datatype), p_error)); // Set the diag device pointer void* d_diag_ptr = (void*)d_diag; CHECK_ROCSPARSE_ERROR(rocsparse_spildlt0_set_input(handle, spildlt0_descr, deprecated_rocsparse_spildlt0_input_diag, &d_diag_ptr, sizeof(d_diag_ptr), p_error)); size_t buffer_size; CHECK_ROCSPARSE_ERROR(rocsparse_spildlt0_buffer_size(handle, spildlt0_descr, A, P, rocsparse_spildlt0_stage_analysis, &buffer_size, p_error)); hipStream_t stream; CHECK_ROCSPARSE_ERROR(rocsparse_get_stream(handle, &stream)); { device_dense_vector buffer(buffer_size); CHECK_HIP_ERROR(hipMemset(buffer, 255 - 1, buffer_size)); // // Call compute before analysis. // EXPECT_ROCSPARSE_STATUS(rocsparse_status_invalid_value, rocsparse_spildlt0(handle, spildlt0_descr, A, P, rocsparse_spildlt0_stage_compute, buffer_size, buffer, p_error)); // // Call analysis. // CHECK_ROCSPARSE_ERROR(rocsparse_spildlt0(handle, spildlt0_descr, A, P, rocsparse_spildlt0_stage_analysis, buffer_size, buffer, p_error)); for(auto input : {rocsparse_spildlt0_input_alg, rocsparse_spildlt0_input_analysis_policy, rocsparse_spildlt0_input_compute_datatype, rocsparse_spildlt0_input_boost_enable, rocsparse_spildlt0_input_boost_tolerance, rocsparse_spildlt0_input_boost_value, rocsparse_spildlt0_input_singularity_tolerance, deprecated_rocsparse_spildlt0_input_diag}) { switch(input) { case rocsparse_spildlt0_input_alg: case rocsparse_spildlt0_input_compute_datatype: case rocsparse_spildlt0_input_analysis_policy: { EXPECT_ROCSPARSE_STATUS( rocsparse_status_invalid_value, rocsparse_spildlt0_set_input( handle, spildlt0_descr, input, (void*)0x4, sizeof(int64_t), p_error)); break; } case rocsparse_spildlt0_input_singularity_tolerance: { EXPECT_ROCSPARSE_STATUS( rocsparse_status_invalid_value, rocsparse_spildlt0_set_input( handle, spildlt0_descr, input, (void*)0x4, sizeof(float), p_error)); CHECK_ROCSPARSE_ERROR( rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host)); CHECK_ROCSPARSE_ERROR( rocsparse_spildlt0_set_input(handle, spildlt0_descr, rocsparse_spildlt0_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_spildlt0_set_input(handle, spildlt0_descr, rocsparse_spildlt0_input_singularity_tolerance, dsingularity_tolerance, sizeof(double), p_error)); break; } case rocsparse_spildlt0_input_boost_enable: case rocsparse_spildlt0_input_boost_tolerance: case rocsparse_spildlt0_input_boost_value: case deprecated_rocsparse_spildlt0_input_diag: { break; } } } // // Call analysis twice. // EXPECT_ROCSPARSE_STATUS(rocsparse_status_invalid_value, rocsparse_spildlt0(handle, spildlt0_descr, A, P, rocsparse_spildlt0_stage_analysis, buffer_size, buffer, p_error)); } { CHECK_ROCSPARSE_ERROR(rocsparse_spildlt0_buffer_size(handle, spildlt0_descr, A, P, rocsparse_spildlt0_stage_compute, &buffer_size, p_error)); device_dense_vector 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_spildlt0_set_input(handle, spildlt0_descr, rocsparse_spildlt0_input_singularity_tolerance, hsingularity_tolerance, sizeof(double), p_error)); // // Call compute. // CHECK_ROCSPARSE_ERROR(rocsparse_spildlt0(handle, spildlt0_descr, A, P, rocsparse_spildlt0_stage_compute, buffer_size, buffer, p_error)); // // Call analysis after compute. // EXPECT_ROCSPARSE_STATUS(rocsparse_status_invalid_value, rocsparse_spildlt0(handle, spildlt0_descr, A, P, rocsparse_spildlt0_stage_analysis, buffer_size, buffer, p_error)); CHECK_ROCSPARSE_ERROR( rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device)); CHECK_ROCSPARSE_ERROR( rocsparse_spildlt0_set_input(handle, spildlt0_descr, rocsparse_spildlt0_input_singularity_tolerance, dsingularity_tolerance, sizeof(double), p_error)); // // Call compute. // CHECK_ROCSPARSE_ERROR(rocsparse_spildlt0(handle, spildlt0_descr, A, P, rocsparse_spildlt0_stage_compute, buffer_size, buffer, p_error)); // // Call analysis after compute. // EXPECT_ROCSPARSE_STATUS(rocsparse_status_invalid_value, rocsparse_spildlt0(handle, spildlt0_descr, A, P, rocsparse_spildlt0_stage_analysis, buffer_size, buffer, p_error)); // // Call compute. // CHECK_ROCSPARSE_ERROR(rocsparse_spildlt0(handle, spildlt0_descr, A, P, rocsparse_spildlt0_stage_compute, buffer_size, buffer, p_error)); CHECK_HIP_ERROR(hipStreamSynchronize(stream)); } } } template void testing_spildlt0(const Arguments& arg) { rocsparse_error* p_error = nullptr; if(arg.M != arg.N) { return; } int64_t batch_count = arg.batch_count; if(batch_count == -1) batch_count = 1; static constexpr const bool full_rank = true; rocsparse_clients::spmat_descr A(arg, batch_count, full_rank); if(false == A.is_square()) { return; } // Only CSR is supported for spildlt0 if(A.get_format() != rocsparse_format_csr) { return; } rocsparse_local_handle handle(arg); hipStream_t stream; CHECK_ROCSPARSE_ERROR(rocsparse_get_stream(handle, &stream)); const int64_t M = A.get_nrows(); rocsparse_clients::spildlt0_descr spildlt0_descr(handle, batch_count); const rocsparse_spildlt0_alg alg = rocsparse_spildlt0_alg_default; const rocsparse_analysis_policy analysis_policy = arg.apol; const rocsparse_datatype compute_datatype = get_datatype(); CHECK_ROCSPARSE_ERROR(rocsparse_spildlt0_set_input( handle, spildlt0_descr, rocsparse_spildlt0_input_alg, &alg, sizeof(alg), p_error)); CHECK_ROCSPARSE_ERROR(rocsparse_spildlt0_set_input(handle, spildlt0_descr, rocsparse_spildlt0_input_analysis_policy, &analysis_policy, sizeof(analysis_policy), p_error)); CHECK_ROCSPARSE_ERROR(rocsparse_spildlt0_set_input(handle, spildlt0_descr, rocsparse_spildlt0_input_compute_datatype, &compute_datatype, sizeof(compute_datatype), p_error)); // // Perform analysis. // auto& host_symbolic_pivot = spildlt0_descr.m_host_symbolic_singularity_position; { size_t buffer_size_in_bytes = std::numeric_limits::max(); CHECK_ROCSPARSE_ERROR(rocsparse_spildlt0_buffer_size(handle, spildlt0_descr, A, A, rocsparse_spildlt0_stage_analysis, &buffer_size_in_bytes, p_error)); device_dense_vector buffer(buffer_size_in_bytes); CHECK_HIP_ERROR(hipMemset(buffer, 255 - 1, buffer_size_in_bytes)); CHECK_ROCSPARSE_ERROR(rocsparse_spildlt0(handle, spildlt0_descr, A, A, rocsparse_spildlt0_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_spildlt0_get_output(handle, spildlt0_descr, rocsparse_spildlt0_output_singularity_position, host_symbolic_pivot, sizeof(int64_t), p_error)); CHECK_HIP_ERROR(hipStreamSynchronize(stream)); } auto& device_symbolic_pivot = spildlt0_descr.m_device_symbolic_singularity_position; auto& host_numeric_pivot = spildlt0_descr.m_host_numeric_singularity_position; auto& device_numeric_pivot = spildlt0_descr.m_device_numeric_singularity_position; if(arg.unit_check) { CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device)); CHECK_ROCSPARSE_ERROR( rocsparse_spildlt0_get_output(handle, spildlt0_descr, rocsparse_spildlt0_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); // // Perform compute. // { size_t buffer_size_in_bytes = std::numeric_limits::max(); CHECK_ROCSPARSE_ERROR(rocsparse_spildlt0_buffer_size(handle, spildlt0_descr, A, A, rocsparse_spildlt0_stage_compute, &buffer_size_in_bytes, p_error)); device_dense_vector buffer(buffer_size_in_bytes); CHECK_HIP_ERROR(hipMemset(buffer, 255 - 1, buffer_size_in_bytes)); CHECK_ROCSPARSE_ERROR(rocsparse_spildlt0(handle, spildlt0_descr, A, A, rocsparse_spildlt0_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_spildlt0_get_output(handle, spildlt0_descr, rocsparse_spildlt0_output_singularity_position, host_numeric_pivot, sizeof(int64_t), p_error)); CHECK_HIP_ERROR(hipStreamSynchronize(stream)); CHECK_ROCSPARSE_ERROR( rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device)); CHECK_ROCSPARSE_ERROR( rocsparse_spildlt0_get_output(handle, spildlt0_descr, rocsparse_spildlt0_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 and compare. { auto& host_csr = A.template as().host(); // Copy the factored device values back to host for comparison. D is stored // in-place on L's diagonal, so this single array carries both L and D: the // value comparison below validates D on the diagonal without any host-side // gather. host_vector h_csr_val_gpu(host_csr.val.size()); CHECK_HIP_ERROR(hipMemcpy(h_csr_val_gpu, A.get_device_values(), sizeof(T) * host_csr.val.size(), hipMemcpyDeviceToHost)); // CPU reference (run on a copy of the original host values) host_vector h_csr_val_ref = host_csr.val; host_vector> h_diag_ref(M * batch_count, static_cast>(0)); const double singular_pivot_tolerance = 0.0; auto& cpu_symbolic_pivot = spildlt0_descr.m_cpu_symbolic_singularity_position; auto& cpu_numeric_near_pivot = spildlt0_descr.m_cpu_numeric_near_singularity_position; auto& cpu_numeric_exact_pivot = spildlt0_descr.m_cpu_numeric_exact_singularity_position; for(int64_t i = 0; i < batch_count; ++i) { host_csrildlt0_ref(static_cast(host_csr.m), host_csr.ptr.data(), host_csr.ind.data(), h_csr_val_ref.data() + i * A.get_stride(), h_diag_ref.data() + i * M, host_csr.base, cpu_symbolic_pivot + i, cpu_numeric_exact_pivot + i, cpu_numeric_near_pivot + i, singular_pivot_tolerance); } 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]); } } cpu_symbolic_pivot.unit_check(host_symbolic_pivot); cpu_numeric_near_pivot.unit_check(host_numeric_pivot); // Check values only when no structural/numeric zero pivot was encountered (all batches). bool no_pivot = true; for(int64_t i = 0; i < batch_count; ++i) { if(host_symbolic_pivot[i] != -1 || host_numeric_pivot[i] != -1) { no_pivot = false; break; } } if(no_pivot) { // For complex types, accumulation error is larger. constexpr bool is_complex = std::is_same::value || std::is_same::value; const floating_data_t tol_ildlt = is_complex ? static_cast>(100) * default_tolerance::value : default_tolerance::value; // Compare L values (off-diagonal CSR entries, plus D on the diagonal). This // validates D-on-diagonal directly, with nothing gathered on the host. h_csr_val_ref.near_check(h_csr_val_gpu, tol_ildlt); // Validate the OPTIONAL external diagonal output vector, which is a *device* // buffer filled by the kernel (no host round-trip to produce D). Re-run the // compute with it set to also exercise the per-batch copy: each batch must // receive its own D into its own m-entry slice (offset b * m). device_dense_vector> d_diag(M * batch_count); { // Compute is in-place and destructive: restore the original values. // host_csr.val is still pristine (the reference ran on h_csr_val_ref). A.get_device_values().transfer_from(host_csr.val); void* d_diag_ptr = (void*)d_diag; CHECK_ROCSPARSE_ERROR( rocsparse_spildlt0_set_input(handle, spildlt0_descr, deprecated_rocsparse_spildlt0_input_diag, &d_diag_ptr, sizeof(d_diag_ptr), p_error)); CHECK_ROCSPARSE_ERROR(rocsparse_spildlt0(handle, spildlt0_descr, A, A, rocsparse_spildlt0_stage_compute, buffer_size_in_bytes, buffer, p_error)); CHECK_HIP_ERROR(hipStreamSynchronize(stream)); } // Copy the device D vector to host only for the reference comparison. host_vector> h_diag_gpu(M * batch_count); CHECK_HIP_ERROR(hipMemcpy(h_diag_gpu, d_diag, sizeof(floating_data_t) * M * batch_count, hipMemcpyDeviceToHost)); if(ROCSPARSE_REPRODUCIBILITY) { rocsparse_reproducibility::save( "L values", h_csr_val_gpu, "D values", h_diag_gpu); } // Every batch's D must land in its own slice of the device vector. h_diag_ref.near_check(h_diag_gpu, tol_ildlt); } } } } if(arg.timing) { size_t buffer_size_in_bytes = std::numeric_limits::max(); CHECK_ROCSPARSE_ERROR(rocsparse_spildlt0_buffer_size(handle, spildlt0_descr, A, A, rocsparse_spildlt0_stage_compute, &buffer_size_in_bytes, p_error)); device_dense_vector 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; for(int32_t iter = 0; iter < n_cold_calls; ++iter) { A.reinit_values(); CHECK_ROCSPARSE_ERROR(rocsparse_spildlt0(handle, spildlt0_descr, A, A, rocsparse_spildlt0_stage_compute, buffer_size_in_bytes, buffer, p_error)); CHECK_HIP_ERROR(hipStreamSynchronize(stream)); } std::vector 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_spildlt0(handle, spildlt0_descr, A, A, rocsparse_spildlt0_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]; auto& device = A.template as().device(); double gbyte_count = csrildlt0_gbyte_count(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)); } } void testing_spildlt0_extra(const Arguments& arg) {} #define INSTANTIATE(I, J, T) \ template void testing_spildlt0_bad_arg(const Arguments& arg); \ template void testing_spildlt0(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