/* ************************************************************************ * Copyright (C) 2025 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.hpp" template void testing_sptrsm_coo_bad_arg(const Arguments& arg) { // // Bad args of sptrsm is already tested in testing_sptrsm_csr_bad_arg // } template void testing_sptrsm_coo(const Arguments& arg) { I M = arg.M; I N = arg.N; if(M != N) { return; } const I K = arg.K; const rocsparse_operation trans_A = arg.transA; const rocsparse_operation trans_B = arg.transB; const rocsparse_index_base base = arg.baseA; const rocsparse_spsm_alg alg = arg.spsm_alg; const rocsparse_diag_type diag = arg.diag; const rocsparse_fill_mode uplo = arg.uplo; const rocsparse_order order_B = arg.orderB; const rocsparse_order order_C = arg.orderC; const rocsparse_int ld_multiplier_B = arg.ld_multiplier_B; const rocsparse_int ld_multiplier_C = arg.ld_multiplier_C; // In the generic routines, C is always non-transposed (op(A) * C = op(B)) const rocsparse_operation trans_C = rocsparse_operation_none; // const host_scalar halpha(arg.get_alpha()); const host_scalar halpha(1); // Index and data type const rocsparse_datatype ttype = get_datatype(); // Create rocsparse handle rocsparse_local_handle handle(arg); rocsparse_matrix_factory matrix_factory(arg); // Sample matrix // Allocate host memory for matrix host_coo_matrix hA; // Sample matrix matrix_factory.init_coo(hA, M, N, base); // Non-squared matrices are not supported if(M != N) { return; } const I nnz_A = hA.nnz; // // Scale values. // { const size_t size = nnz_A; floating_data_t mx = floating_data_t(0); for(size_t i = 0; i < size; ++i) { mx = std::max(mx, std::abs(hA.val[i])); } mx = (mx != floating_data_t(0)) ? floating_data_t(1.0) / mx : floating_data_t(1.0); for(size_t i = 0; i < size; ++i) { hA.val[i] *= mx; } } const I B_m = (trans_B == rocsparse_operation_none) ? M : K; const I B_n = (trans_B == rocsparse_operation_none) ? K : M; const I C_m = M; const I C_n = K; const int64_t ldb = std::max( int64_t(1), ((order_B == rocsparse_order_column) ? ((trans_B == rocsparse_operation_none) ? (int64_t(ld_multiplier_B) * M) : (int64_t(ld_multiplier_B) * K)) : ((trans_B == rocsparse_operation_none) ? (int64_t(ld_multiplier_B) * K) : (int64_t(ld_multiplier_B) * M)))); const int64_t ldc = std::max(int64_t(1), ((order_C == rocsparse_order_column) ? (int64_t(ld_multiplier_C) * M) : (int64_t(ld_multiplier_C) * K))); const int64_t nrowB = (order_B == rocsparse_order_column) ? ldb : B_m; const int64_t ncolB = (order_B == rocsparse_order_column) ? B_n : ldb; const int64_t nrowC = (order_C == rocsparse_order_column) ? ldc : C_m; const int64_t ncolC = (order_C == rocsparse_order_column) ? C_n : ldc; // Allocate host memory for vectors host_dense_matrix hB(nrowB, ncolB); { host_dense_matrix htemp(B_m, B_n); rocsparse_matrix_utils::init(htemp); if(order_B == rocsparse_order_column) { for(I j = 0; j < B_n; j++) { for(I i = 0; i < B_m; i++) { hB[i + ldb * j] = htemp[i + B_m * j]; } } } else { for(I i = 0; i < B_m; i++) { for(I j = 0; j < B_n; j++) { hB[ldb * i + j] = htemp[B_n * i + j]; } } } } host_dense_matrix hC(nrowC, ncolC); memset(hC, 0, sizeof(T) * nrowC * ncolC); // Copy B to C if(order_B == rocsparse_order_column) { if(trans_B == rocsparse_operation_none) { if(order_C == rocsparse_order_column) { for(I j = 0; j < B_n; j++) { for(I i = 0; i < B_m; i++) { hC[i + ldc * j] = hB[i + ldb * j]; } } } else { for(I j = 0; j < B_n; j++) { for(I i = 0; i < B_m; i++) { hC[i * ldc + j] = hB[i + ldb * j]; } } } } else { if(order_C == rocsparse_order_column) { for(I j = 0; j < B_n; j++) { for(I i = 0; i < B_m; i++) { hC[i * ldc + j] = hB[i + ldb * j]; } } } else { for(I j = 0; j < B_n; j++) { for(I i = 0; i < B_m; i++) { hC[i + ldc * j] = hB[i + ldb * j]; } } } } } else { if(trans_B == rocsparse_operation_none) { if(order_C == rocsparse_order_column) { for(I j = 0; j < B_n; j++) { for(I i = 0; i < B_m; i++) { hC[i + ldc * j] = hB[ldb * i + j]; } } } else { for(I j = 0; j < B_n; j++) { for(I i = 0; i < B_m; i++) { hC[i * ldc + j] = hB[ldb * i + j]; } } } } else { if(order_C == rocsparse_order_column) { for(I j = 0; j < B_n; j++) { for(I i = 0; i < B_m; i++) { hC[i * ldc + j] = hB[ldb * i + j]; } } } else { for(I j = 0; j < B_n; j++) { for(I i = 0; i < B_m; i++) { hC[i + ldc * j] = hB[ldb * i + j]; } } } } } if(trans_B == rocsparse_operation_conjugate_transpose) { if(order_C == rocsparse_order_column) { for(I j = 0; j < C_n; j++) { for(I i = 0; i < C_m; i++) { hC[i + ldc * j] = rocsparse_conj(hC[i + ldc * j]); } } } else { for(I i = 0; i < C_m; i++) { for(I j = 0; j < C_n; j++) { hC[ldc * i + j] = rocsparse_conj(hC[ldc * i + j]); } } } } // Allocate device memory device_coo_matrix dA(hA); device_dense_matrix dB(hB); device_dense_matrix dC(nrowC, ncolC); CHECK_HIP_ERROR(hipMemset(dC, 0, sizeof(T) * nrowC * ncolC)); device_scalar dalpha(halpha); // Create descriptors rocsparse_local_spmat A(dA); rocsparse_local_dnmat B(B_m, B_n, ldb, dB, ttype, order_B); rocsparse_local_dnmat C(C_m, C_n, ldc, dC, ttype, order_C); rocsparse_error* p_error = nullptr; CHECK_ROCSPARSE_ERROR( rocsparse_spmat_set_attribute(A, rocsparse_spmat_fill_mode, &uplo, sizeof(uplo))); CHECK_ROCSPARSE_ERROR( rocsparse_spmat_set_attribute(A, rocsparse_spmat_diag_type, &diag, sizeof(diag))); rocsparse_sptrsm_descr sptrsm_descr; CHECK_ROCSPARSE_ERROR(rocsparse_create_sptrsm_descr(&sptrsm_descr)); // // Set algorithm. // { const rocsparse_sptrsm_alg alg = rocsparse_sptrsm_alg_default; CHECK_ROCSPARSE_ERROR(rocsparse_sptrsm_set_input( handle, sptrsm_descr, rocsparse_sptrsm_input_alg, &alg, sizeof(alg), p_error)); } // // Set operation A // { const rocsparse_operation operation_A = trans_A; CHECK_ROCSPARSE_ERROR(rocsparse_sptrsm_set_input(handle, sptrsm_descr, rocsparse_sptrsm_input_operation_A, &operation_A, sizeof(operation_A), p_error)); } // // Set operation B // { const rocsparse_operation operation_X = trans_B; CHECK_ROCSPARSE_ERROR(rocsparse_sptrsm_set_input(handle, sptrsm_descr, rocsparse_sptrsm_input_operation_X, &operation_X, sizeof(operation_X), p_error)); } // // Set scalar datatype. // { const rocsparse_datatype scalar_datatype = ttype; CHECK_ROCSPARSE_ERROR(rocsparse_sptrsm_set_input(handle, sptrsm_descr, rocsparse_sptrsm_input_scalar_datatype, &scalar_datatype, sizeof(scalar_datatype), p_error)); } { const rocsparse_datatype compute_datatype = ttype; CHECK_ROCSPARSE_ERROR(rocsparse_sptrsm_set_input(handle, sptrsm_descr, rocsparse_sptrsm_input_compute_datatype, &compute_datatype, sizeof(compute_datatype), p_error)); } { const rocsparse_analysis_policy apol = arg.apol; CHECK_ROCSPARSE_ERROR(rocsparse_sptrsm_set_input(handle, sptrsm_descr, rocsparse_sptrsm_input_analysis_policy, &apol, sizeof(apol), p_error)); } { size_t buffer_size_in_bytes; CHECK_ROCSPARSE_ERROR(rocsparse_sptrsm_buffer_size(handle, sptrsm_descr, A, B, C, rocsparse_sptrsm_stage_analysis, &buffer_size_in_bytes, p_error)); void* buffer; CHECK_HIP_ERROR(rocsparse_hipMalloc(&buffer, buffer_size_in_bytes)); CHECK_ROCSPARSE_ERROR(rocsparse_sptrsm(handle, sptrsm_descr, A, B, C, rocsparse_sptrsm_stage_analysis, buffer_size_in_bytes, buffer, p_error)); CHECK_HIP_ERROR(rocsparse_hipFree(buffer)); } if(arg.unit_check) { // CPU I analysis_pivot = -1; I solve_pivot = -1; host_coosm(M, K, nnz_A, trans_A, trans_C, halpha[0], hA.row_ind, hA.col_ind, hA.val, hC, ldc, order_C, diag, uplo, base, &analysis_pivot, &solve_pivot); CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host)); CHECK_ROCSPARSE_ERROR(rocsparse_sptrsm_set_input(handle, sptrsm_descr, rocsparse_sptrsm_input_scalar_alpha, halpha, sizeof(const T*), p_error)); size_t buffer_size_in_bytes; CHECK_ROCSPARSE_ERROR(rocsparse_sptrsm_buffer_size(handle, sptrsm_descr, A, B, C, rocsparse_sptrsm_stage_compute, &buffer_size_in_bytes, p_error)); void* buffer; CHECK_HIP_ERROR(rocsparse_hipMalloc(&buffer, buffer_size_in_bytes)); CHECK_ROCSPARSE_ERROR(rocsparse_sptrsm(handle, sptrsm_descr, A, B, C, rocsparse_sptrsm_stage_compute, buffer_size_in_bytes, buffer, p_error)); CHECK_HIP_ERROR(hipDeviceSynchronize()); if(ROCSPARSE_REPRODUCIBILITY) { rocsparse_reproducibility::save("dC_host", dC); } if(analysis_pivot == -1 && solve_pivot == -1) { hC.near_check(dC); } // // Reset. // CHECK_HIP_ERROR(hipMemset(dC, 0, sizeof(T) * nrowC * ncolC)); // Solve on device CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device)); CHECK_ROCSPARSE_ERROR(rocsparse_sptrsm_set_input(handle, sptrsm_descr, rocsparse_sptrsm_input_scalar_alpha, dalpha, sizeof(const T*), p_error)); CHECK_ROCSPARSE_ERROR(rocsparse_sptrsm(handle, sptrsm_descr, A, B, C, rocsparse_sptrsm_stage_compute, buffer_size_in_bytes, buffer, p_error)); CHECK_HIP_ERROR(hipDeviceSynchronize()); if(ROCSPARSE_REPRODUCIBILITY) { rocsparse_reproducibility::save("dC_device", dC); } if(analysis_pivot == -1 && solve_pivot == -1) { hC.near_check(dC); } CHECK_HIP_ERROR(rocsparse_hipFree(buffer)); } if(arg.timing) { CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host)); CHECK_ROCSPARSE_ERROR(rocsparse_sptrsm_set_input(handle, sptrsm_descr, rocsparse_sptrsm_input_scalar_alpha, halpha, sizeof(const T*), p_error)); size_t buffer_size_in_bytes; CHECK_ROCSPARSE_ERROR(rocsparse_sptrsm_buffer_size(handle, sptrsm_descr, A, B, C, rocsparse_sptrsm_stage_compute, &buffer_size_in_bytes, p_error)); void* buffer; CHECK_HIP_ERROR(rocsparse_hipMalloc(&buffer, buffer_size_in_bytes)); const double gpu_time_used = rocsparse_clients::run_benchmark(arg, rocsparse_sptrsm, handle, sptrsm_descr, A, B, C, rocsparse_sptrsm_stage_compute, buffer_size_in_bytes, buffer, p_error); CHECK_HIP_ERROR(rocsparse_hipFree(buffer)); const double gflop_count = spsv_gflop_count(M, nnz_A, diag) * K; const double gpu_gflops = get_gpu_gflops(gpu_time_used, gflop_count); const double gbyte_count = csrsv_gbyte_count(M, nnz_A) * K; const double gpu_gbyte = get_gpu_gbyte(gpu_time_used, gbyte_count); display_timing_info(display_key_t::M, M, display_key_t::nnz_A, nnz_A, display_key_t::nrhs, K, display_key_t::alpha, halpha, display_key_t::algorithm, rocsparse_spsmalg2string(alg), display_key_t::gflops, gpu_gflops, display_key_t::bandwidth, gpu_gbyte, display_key_t::time_ms, get_gpu_time_msec(gpu_time_used)); } CHECK_ROCSPARSE_ERROR(rocsparse_destroy_sptrsm_descr(sptrsm_descr)); } #define INSTANTIATE(ITYPE, TTYPE) \ template void testing_sptrsm_coo_bad_arg(const Arguments& arg); \ template void testing_sptrsm_coo(const Arguments& arg) INSTANTIATE(int32_t, float); INSTANTIATE(int32_t, double); INSTANTIATE(int32_t, rocsparse_float_complex); INSTANTIATE(int32_t, rocsparse_double_complex); INSTANTIATE(int64_t, float); INSTANTIATE(int64_t, double); INSTANTIATE(int64_t, rocsparse_float_complex); INSTANTIATE(int64_t, rocsparse_double_complex); void testing_sptrsm_coo_extra(const Arguments& arg) {}