/* ************************************************************************ * Copyright (C) 2021-2025 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_spsm_csr_bad_arg(const Arguments& arg) { J m = 100; J n = 100; J k = 16; I nnz = 100; const T local_alpha = 0.6; const T* alpha = &local_alpha; rocsparse_operation trans_A = rocsparse_operation_none; rocsparse_operation trans_B = rocsparse_operation_none; rocsparse_index_base base = rocsparse_index_base_zero; rocsparse_spsm_alg alg = rocsparse_spsm_alg_default; // Index and data type rocsparse_indextype itype = get_indextype(); rocsparse_indextype jtype = get_indextype(); rocsparse_datatype compute_type = get_datatype(); // Create rocsparse handle rocsparse_local_handle local_handle; // SpSM structures rocsparse_local_spmat local_A( m, n, nnz, (void*)0x4, (void*)0x4, (void*)0x4, itype, jtype, base, compute_type); rocsparse_local_dnmat local_B(m, k, m, (void*)0x4, compute_type, rocsparse_order_column); rocsparse_local_dnmat local_C(m, k, m, (void*)0x4, compute_type, rocsparse_order_column); rocsparse_handle handle = local_handle; rocsparse_spmat_descr matA = local_A; rocsparse_dnmat_descr matB = local_B; rocsparse_dnmat_descr matC = local_C; size_t local_buffer_size; size_t* buffer_size = &local_buffer_size; void* temp_buffer = (void*)0x4; #define PARAMS_BUFFER_SIZE \ handle, trans_A, trans_B, alpha, matA, matB, matC, compute_type, alg, stage, buffer_size, \ temp_buffer #define PARAMS_ANALYSIS \ handle, trans_A, trans_B, alpha, matA, matB, matC, compute_type, alg, stage, buffer_size, \ temp_buffer #define PARAMS_SOLVE \ handle, trans_A, trans_B, alpha, matA, matB, matC, compute_type, alg, stage, buffer_size, \ temp_buffer { static constexpr int nargs_to_exclude = 1; const int args_to_exclude[nargs_to_exclude] = {11}; const rocsparse_spsm_stage stage = rocsparse_spsm_stage_buffer_size; select_bad_arg_analysis( rocsparse_spsm, nargs_to_exclude, args_to_exclude, PARAMS_BUFFER_SIZE); } { static constexpr int nargs_to_exclude = 2; const int args_to_exclude[nargs_to_exclude] = {10, 11}; const rocsparse_spsm_stage stage = rocsparse_spsm_stage_preprocess; select_bad_arg_analysis(rocsparse_spsm, nargs_to_exclude, args_to_exclude, PARAMS_ANALYSIS); } { static constexpr int nargs_to_exclude = 2; const int args_to_exclude[nargs_to_exclude] = {10, 11}; const rocsparse_spsm_stage stage = rocsparse_spsm_stage_compute; select_bad_arg_analysis(rocsparse_spsm, nargs_to_exclude, args_to_exclude, PARAMS_SOLVE); } #undef PARAMS_BUFFER_SIZE #undef PARAMS_ANALYSIS #undef PARAMS_SOLVE } template void testing_spsm_csr(const Arguments& arg) { J M = arg.M; J N = arg.N; J K = arg.K; rocsparse_operation trans_A = arg.transA; rocsparse_operation trans_B = arg.transB; rocsparse_index_base base = arg.baseA; rocsparse_spsm_alg alg = arg.spsm_alg; rocsparse_diag_type diag = arg.diag; rocsparse_fill_mode uplo = arg.uplo; rocsparse_order order_B = arg.orderB; rocsparse_order order_C = arg.orderC; rocsparse_int ld_multiplier_B = arg.ld_multiplier_B; rocsparse_int ld_multiplier_C = arg.ld_multiplier_C; // In the generic routines, C is always non-transposed (op(A) * C = op(B)) rocsparse_operation trans_C = rocsparse_operation_none; T halpha = arg.get_alpha(); // Index and data type rocsparse_indextype itype = get_indextype(); rocsparse_indextype jtype = get_indextype(); rocsparse_datatype ttype = get_datatype(); // Create rocsparse handle rocsparse_local_handle handle(arg); rocsparse_matrix_factory matrix_factory(arg); // Allocate host memory for matrix host_vector hcsr_row_ptr; host_vector hcsr_col_ind; host_vector hcsr_val; // Sample matrix I nnz_A; matrix_factory.init_csr(hcsr_row_ptr, hcsr_col_ind, hcsr_val, M, N, nnz_A, base); // // Scale values. // { const size_t size = hcsr_val.size(); floating_data_t mx = floating_data_t(0); for(size_t i = 0; i < size; ++i) { mx = std::max(mx, std::abs(hcsr_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) { hcsr_val[i] *= mx; } } J B_m = (trans_B == rocsparse_operation_none) ? M : K; J B_n = (trans_B == rocsparse_operation_none) ? K : M; J C_m = M; J C_n = K; int64_t ldb = (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)); int64_t ldc = (order_C == rocsparse_order_column) ? (int64_t(ld_multiplier_C) * M) : (int64_t(ld_multiplier_C) * K); ldb = std::max(int64_t(1), ldb); ldc = std::max(int64_t(1), ldc); int64_t nrowB = (order_B == rocsparse_order_column) ? ldb : B_m; int64_t ncolB = (order_B == rocsparse_order_column) ? B_n : ldb; int64_t nrowC = (order_C == rocsparse_order_column) ? ldc : C_m; int64_t ncolC = (order_C == rocsparse_order_column) ? C_n : ldc; // Non-squared matrices are not supported if(M != N) { return; } // Allocate host memory for vectors host_dense_matrix htemp(B_m, B_n); host_dense_matrix hB(nrowB, ncolB); host_dense_matrix hC_1(nrowC, ncolC); host_dense_matrix hC_2(nrowC, ncolC); host_dense_matrix hC_gold(nrowC, ncolC); rocsparse_matrix_utils::init(htemp); // Copy B to C if(order_B == rocsparse_order_column) { for(J j = 0; j < B_n; j++) { for(J i = 0; i < B_m; i++) { hB[i + ldb * j] = htemp[i + B_m * j]; } } if(trans_B == rocsparse_operation_none) { if(order_C == rocsparse_order_column) { for(J j = 0; j < B_n; j++) { for(J i = 0; i < B_m; i++) { hC_1[i + ldc * j] = hB[i + ldb * j]; } } } else { for(J j = 0; j < B_n; j++) { for(J i = 0; i < B_m; i++) { hC_1[i * ldc + j] = hB[i + ldb * j]; } } } } else { if(order_C == rocsparse_order_column) { for(J j = 0; j < B_n; j++) { for(J i = 0; i < B_m; i++) { hC_1[i * ldc + j] = hB[i + ldb * j]; } } } else { for(J j = 0; j < B_n; j++) { for(J i = 0; i < B_m; i++) { hC_1[i + ldc * j] = hB[i + ldb * j]; } } } } } else { for(J i = 0; i < B_m; i++) { for(J j = 0; j < B_n; j++) { hB[ldb * i + j] = htemp[B_n * i + j]; } } if(trans_B == rocsparse_operation_none) { if(order_C == rocsparse_order_column) { for(J j = 0; j < B_n; j++) { for(J i = 0; i < B_m; i++) { hC_1[i + ldc * j] = hB[ldb * i + j]; } } } else { for(J j = 0; j < B_n; j++) { for(J i = 0; i < B_m; i++) { hC_1[i * ldc + j] = hB[ldb * i + j]; } } } } else { if(order_C == rocsparse_order_column) { for(J j = 0; j < B_n; j++) { for(J i = 0; i < B_m; i++) { hC_1[i * ldc + j] = hB[ldb * i + j]; } } } else { for(J j = 0; j < B_n; j++) { for(J i = 0; i < B_m; i++) { hC_1[i + ldc * j] = hB[ldb * i + j]; } } } } } hC_2 = hC_1; hC_gold = hC_1; if(trans_B == rocsparse_operation_conjugate_transpose) { if(order_C == rocsparse_order_column) { for(J j = 0; j < C_n; j++) { for(J i = 0; i < C_m; i++) { hC_gold[i + ldc * j] = rocsparse_conj(hC_gold[i + ldc * j]); } } } else { for(J i = 0; i < C_m; i++) { for(J j = 0; j < C_n; j++) { hC_gold[ldc * i + j] = rocsparse_conj(hC_gold[ldc * i + j]); } } } } // Allocate device memory device_vector dcsr_row_ptr(M + 1); device_vector dcsr_col_ind(nnz_A); device_vector dcsr_val(nnz_A); device_dense_matrix dB(nrowB, ncolB); device_dense_matrix dC_1(nrowC, ncolC); device_dense_matrix dC_2(nrowC, ncolC); device_vector dalpha(1); // Copy data from CPU to device CHECK_HIP_ERROR( hipMemcpy(dcsr_row_ptr, hcsr_row_ptr.data(), sizeof(I) * (M + 1), hipMemcpyHostToDevice)); CHECK_HIP_ERROR( hipMemcpy(dcsr_col_ind, hcsr_col_ind.data(), sizeof(J) * nnz_A, hipMemcpyHostToDevice)); CHECK_HIP_ERROR(hipMemcpy(dcsr_val, hcsr_val.data(), sizeof(T) * nnz_A, hipMemcpyHostToDevice)); CHECK_HIP_ERROR(hipMemcpy(dB, hB, sizeof(T) * nrowB * ncolB, hipMemcpyHostToDevice)); CHECK_HIP_ERROR(hipMemcpy(dC_1, hC_1, sizeof(T) * nrowC * ncolC, hipMemcpyHostToDevice)); CHECK_HIP_ERROR(hipMemcpy(dC_2, hC_2, sizeof(T) * nrowC * ncolC, hipMemcpyHostToDevice)); CHECK_HIP_ERROR(hipMemcpy(dalpha, &halpha, sizeof(T), hipMemcpyHostToDevice)); // Create descriptors rocsparse_local_spmat A( M, N, nnz_A, dcsr_row_ptr, dcsr_col_ind, dcsr_val, itype, jtype, base, ttype); rocsparse_local_dnmat B(B_m, B_n, ldb, dB, ttype, order_B); rocsparse_local_dnmat C1(C_m, C_n, ldc, dC_1, ttype, order_C); rocsparse_local_dnmat C2(C_m, C_n, ldc, dC_2, ttype, order_C); 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))); // Query SpSM buffer size_t buffer_size; CHECK_ROCSPARSE_ERROR(rocsparse_spsm(handle, trans_A, trans_B, &halpha, A, B, C1, ttype, alg, rocsparse_spsm_stage_buffer_size, &buffer_size, nullptr)); // Allocate buffer void* dbuffer; CHECK_HIP_ERROR(rocsparse_hipMalloc(&dbuffer, buffer_size)); // Perform analysis on host CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host)); CHECK_ROCSPARSE_ERROR(rocsparse_spsm(handle, trans_A, trans_B, &halpha, A, B, C1, ttype, alg, rocsparse_spsm_stage_preprocess, nullptr, dbuffer)); // Perform analysis on device CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device)); CHECK_ROCSPARSE_ERROR(rocsparse_spsm(handle, trans_A, trans_B, dalpha, A, B, C2, ttype, alg, rocsparse_spsm_stage_preprocess, nullptr, dbuffer)); // // The buffer must be be non persistent, let's put garbage in it. // CHECK_HIP_ERROR(hipMemset(dbuffer, 255 - 1, buffer_size)); if(arg.unit_check) { // Solve on host CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host)); CHECK_ROCSPARSE_ERROR(testing::rocsparse_spsm(handle, trans_A, trans_B, &halpha, A, B, C1, ttype, alg, rocsparse_spsm_stage_compute, &buffer_size, dbuffer)); // Solve on device CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device)); CHECK_ROCSPARSE_ERROR(testing::rocsparse_spsm(handle, trans_A, trans_B, dalpha, A, B, C2, ttype, alg, rocsparse_spsm_stage_compute, &buffer_size, dbuffer)); CHECK_HIP_ERROR(hipDeviceSynchronize()); if(ROCSPARSE_REPRODUCIBILITY) { rocsparse_reproducibility::save("dC_1", dC_1); } if(ROCSPARSE_REPRODUCIBILITY) { rocsparse_reproducibility::save("dC_2", dC_2); } // Copy output to host CHECK_HIP_ERROR(hipMemcpy(hC_1, dC_1, sizeof(T) * nrowC * ncolC, hipMemcpyDeviceToHost)); CHECK_HIP_ERROR(hipMemcpy(hC_2, dC_2, sizeof(T) * nrowC * ncolC, hipMemcpyDeviceToHost)); // CPU csrsm J analysis_pivot = -1; J solve_pivot = -1; host_csrsm(M, K, nnz_A, trans_A, trans_C, halpha, hcsr_row_ptr, hcsr_col_ind, hcsr_val, hC_gold, ldc, order_C, diag, uplo, base, &analysis_pivot, &solve_pivot); if(analysis_pivot == -1 && solve_pivot == -1) { hC_gold.near_check(hC_1); hC_gold.near_check(hC_2); } } if(arg.timing) { CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host)); const double gpu_time_used = rocsparse_clients::run_benchmark(arg, rocsparse_spsm, handle, trans_A, trans_B, &halpha, A, B, C1, ttype, alg, rocsparse_spsm_stage_compute, &buffer_size, dbuffer); double gflop_count = spsv_gflop_count(M, nnz_A, diag) * K; double gpu_gflops = get_gpu_gflops(gpu_time_used, gflop_count); double gbyte_count = csrsv_gbyte_count(M, nnz_A) * K; 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_HIP_ERROR(rocsparse_hipFree(dbuffer)); } #define INSTANTIATE(ITYPE, JTYPE, TTYPE) \ template void testing_spsm_csr_bad_arg(const Arguments& arg); \ template void testing_spsm_csr(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); static void testing_spsm_csr_extra0(const Arguments& arg) { static const bool verbose = false; const rocsparse_operation trans_A = rocsparse_operation_none; rocsparse_operation trans_B = rocsparse_operation_transpose; // 1 0 0 // A = 0 2 0 // 0 0 3 const rocsparse_int m = 3; const rocsparse_int n = 2; const rocsparse_int nnz = 3; host_csr_matrix hA(m, m, nnz, rocsparse_index_base_zero); hA.ptr[0] = 0; hA.ptr[1] = 1; hA.ptr[2] = 2; hA.ptr[3] = 3; hA.ind[0] = 0; hA.ind[1] = 1; hA.ind[2] = 2; hA.val[0] = 1; hA.val[1] = 2; hA.val[2] = 4; device_csr_matrix dA(hA); host_dense_matrix hB(m, n); host_dense_matrix hB_T(n, m); host_dense_matrix hC(m, n); for(int i = 0; i < m; i++) { for(int j = 0; j < n; j++) { hC[hC.ld * j + i] = 777; } } for(int i = 0; i < m; i++) { for(int j = 0; j < n; j++) { hB[hB.ld * j + i] = static_cast(j + 1); } } // 1 2 // B = 1 2 // 1 2 if(verbose) { std::cout << "hB" << std::endl; for(size_t i = 0; i < m; ++i) { for(size_t j = 0; j < n; ++j) fprintf(stdout, " %8.5e", hB[j * m + i]); fprintf(stdout, "\n"); } } for(int i = 0; i < n; i++) { for(int j = 0; j < m; j++) { hB_T[n * j + i] = static_cast(i + 1); } } if(verbose) { std::cout << "hB_T" << std::endl; for(size_t i = 0; i < n; ++i) { for(size_t j = 0; j < m; ++j) fprintf(stdout, " %8.5e", hB_T[j * n + i]); fprintf(stdout, "\n"); } } // Scalar alpha float alpha = 1.0f; // Offload data to device device_dense_matrix dB(hB), dB_T(hB_T), dC(hC); rocsparse_handle handle; rocsparse_local_spmat matA(dA); rocsparse_local_dnmat matB(dB); rocsparse_local_dnmat matB_T(dB_T); rocsparse_local_dnmat matC(dC); CHECK_ROCSPARSE_ERROR(rocsparse_create_handle(&handle)); rocsparse_datatype compute_type = rocsparse_datatype_f32_r; { // Call spsv to get buffer size size_t buffer_size; trans_B = rocsparse_operation_transpose; CHECK_ROCSPARSE_ERROR(rocsparse_spsm(handle, trans_A, trans_B, &alpha, matA, matB_T, matC, compute_type, rocsparse_spsm_alg_default, rocsparse_spsm_stage_buffer_size, &buffer_size, nullptr)); void* temp_buffer; CHECK_HIP_ERROR(rocsparse_hipMalloc((void**)&temp_buffer, buffer_size)); // Call spsv to perform analysis CHECK_ROCSPARSE_ERROR(rocsparse_spsm(handle, trans_A, trans_B, &alpha, matA, matB_T, matC, compute_type, rocsparse_spsm_alg_default, rocsparse_spsm_stage_preprocess, &buffer_size, temp_buffer)); // Call spsv to perform computation CHECK_ROCSPARSE_ERROR(rocsparse_spsm(handle, trans_A, trans_B, &alpha, matA, matB_T, matC, compute_type, rocsparse_spsm_alg_default, rocsparse_spsm_stage_compute, &buffer_size, temp_buffer)); CHECK_HIP_ERROR(rocsparse_hipFree(temp_buffer)); // Copy result back to host hC.transfer_from(dC); if(verbose) { std::cout << "hC with B transpose" << std::endl; for(size_t i = 0; i < m; ++i) { for(size_t j = 0; j < n; ++j) { fprintf(stdout, " %8.5e", hC[j * m + i]); } fprintf(stdout, "\n"); } } } host_dense_matrix hC2(hC); { // Call spsv to get buffer size size_t buffer_size; trans_B = rocsparse_operation_none; CHECK_ROCSPARSE_ERROR(rocsparse_spsm(handle, trans_A, trans_B, &alpha, matA, matB, matC, compute_type, rocsparse_spsm_alg_default, rocsparse_spsm_stage_buffer_size, &buffer_size, nullptr)); void* temp_buffer; CHECK_HIP_ERROR(rocsparse_hipMalloc((void**)&temp_buffer, buffer_size)); // Call spsv to perform analysis CHECK_ROCSPARSE_ERROR(rocsparse_spsm(handle, trans_A, trans_B, &alpha, matA, matB, matC, compute_type, rocsparse_spsm_alg_default, rocsparse_spsm_stage_preprocess, &buffer_size, temp_buffer)); // Call spsv to perform computation CHECK_ROCSPARSE_ERROR(rocsparse_spsm(handle, trans_A, trans_B, &alpha, matA, matB, matC, compute_type, rocsparse_spsm_alg_default, rocsparse_spsm_stage_compute, &buffer_size, temp_buffer)); CHECK_HIP_ERROR(rocsparse_hipFree(temp_buffer)); // Copy result back to host hC.transfer_from(dC); } if(verbose) { std::cout << "hC with B none" << std::endl; for(size_t i = 0; i < m; ++i) { for(size_t j = 0; j < n; ++j) { fprintf(stdout, " %8.5e", hC[j * m + i]); } fprintf(stdout, "\n"); } } hC.unit_check(hC2); // Clear rocSPARSE CHECK_ROCSPARSE_ERROR(rocsparse_destroy_handle(handle)); } static void spsm_csr_B_conjugate(const Arguments& arg, rocsparse_order order_B, rocsparse_order order_C) { // This test verifies that the conjugate transpose is working correctly static const bool verbose = false; rocsparse_operation trans_A = rocsparse_operation_none; rocsparse_operation trans_B = rocsparse_operation_conjugate_transpose; rocsparse_index_base base = rocsparse_index_base_zero; rocsparse_spsm_alg alg = rocsparse_spsm_alg_default; rocsparse_fill_mode uplo = rocsparse_fill_mode_lower; rocsparse_diag_type diag = rocsparse_diag_type_non_unit; rocsparse_int m = 3; rocsparse_int k = 2; rocsparse_int ldb = (order_B == rocsparse_order_column) ? k : m; rocsparse_int ldc = (order_C == rocsparse_order_column) ? m : k; rocsparse_indextype itype = get_indextype(); rocsparse_indextype jtype = get_indextype(); rocsparse_datatype compute_type = get_datatype(); // Create rocsparse handle rocsparse_local_handle handle(arg); rocsparse_float_complex halpha = rocsparse_float_complex(1, 0); // 1 0 0 // A = 3 2 0 // 4 2 -2 rocsparse_int nnz_A = 6; host_vector hcsr_row_ptr = {0, 1, 3, 6}; host_vector hcsr_col_ind = {0, 0, 1, 0, 1, 2}; host_vector hcsr_val = {1, 3, 2, 4, 2, -2}; // B = (1, 1) (2, -1) (0, 1) // (1, 0) (-1, 1) (3, -2) const host_vector hB_row_order = {rocsparse_float_complex(1, 1), rocsparse_float_complex(2, -1), rocsparse_float_complex(0, 1), rocsparse_float_complex(1, 0), rocsparse_float_complex(-1, 1), rocsparse_float_complex(3, -2)}; const host_vector hB_col_order = {rocsparse_float_complex(1, 1), rocsparse_float_complex(1, 0), rocsparse_float_complex(2, -1), rocsparse_float_complex(-1, 1), rocsparse_float_complex(0, 1), rocsparse_float_complex(3, -2)}; // C = (1, 1) (2, 2) // (3, 3) (4, 4) // (5, 5) (6, 6) const host_vector hC_row_order = {rocsparse_float_complex(1, 1), rocsparse_float_complex(2, 2), rocsparse_float_complex(3, 3), rocsparse_float_complex(4, 4), rocsparse_float_complex(5, 5), rocsparse_float_complex(6, 6)}; const host_vector hC_col_order = {rocsparse_float_complex(1, 1), rocsparse_float_complex(3, 3), rocsparse_float_complex(5, 5), rocsparse_float_complex(2, 2), rocsparse_float_complex(4, 4), rocsparse_float_complex(6, 6)}; host_vector hB(k * m); host_vector hC(m * k); for(rocsparse_int i = 0; i < k * m; i++) { hB[i] = (order_B == rocsparse_order_column) ? hB_col_order[i] : hB_row_order[i]; } for(rocsparse_int i = 0; i < m * k; i++) { hC[i] = (order_C == rocsparse_order_column) ? hC_col_order[i] : hC_row_order[i]; } if(verbose) { std::cout << "A" << std::endl; for(rocsparse_int i = 0; i < m; i++) { rocsparse_int start = hcsr_row_ptr[i] - base; rocsparse_int end = hcsr_row_ptr[i + 1] - base; std::vector temp(m, 0); for(rocsparse_int j = start; j < end; j++) { temp[hcsr_col_ind[j] - base] = hcsr_val[j]; } for(rocsparse_int j = 0; j < m; j++) { std::cout << temp[j] << " "; } std::cout << "" << std::endl; } std::cout << "" << std::endl; std::cout << "B" << std::endl; if(order_B == rocsparse_order_column) { for(rocsparse_int i = 0; i < m; i++) { for(rocsparse_int j = 0; j < k; j++) { std::cout << hB[i + ldb * j] << " "; } std::cout << "" << std::endl; } } else { for(rocsparse_int i = 0; i < k; i++) { for(rocsparse_int j = 0; j < m; j++) { std::cout << hB[ldb * i + j] << " "; } std::cout << "" << std::endl; } } std::cout << "" << std::endl; std::cout << "C" << std::endl; if(order_C == rocsparse_order_column) { for(rocsparse_int i = 0; i < m; i++) { for(rocsparse_int j = 0; j < k; j++) { std::cout << hC[i + ldc * j] << " "; } std::cout << "" << std::endl; } } else { for(rocsparse_int i = 0; i < m; i++) { for(rocsparse_int j = 0; j < k; j++) { std::cout << hC[ldc * i + j] << " "; } std::cout << "" << std::endl; } } std::cout << "" << std::endl; } device_vector dcsr_row_ptr(m + 1); device_vector dcsr_col_ind(nnz_A); device_vector dcsr_val(nnz_A); device_vector dB(k * m); device_vector dC(m * k); // Copy data from CPU to device CHECK_HIP_ERROR(hipMemcpy( dcsr_row_ptr, hcsr_row_ptr.data(), sizeof(rocsparse_int) * (m + 1), hipMemcpyHostToDevice)); CHECK_HIP_ERROR(hipMemcpy( dcsr_col_ind, hcsr_col_ind.data(), sizeof(rocsparse_int) * nnz_A, hipMemcpyHostToDevice)); CHECK_HIP_ERROR(hipMemcpy( dcsr_val, hcsr_val.data(), sizeof(rocsparse_float_complex) * nnz_A, hipMemcpyHostToDevice)); CHECK_HIP_ERROR( hipMemcpy(dB, hB, sizeof(rocsparse_float_complex) * k * m, hipMemcpyHostToDevice)); CHECK_HIP_ERROR( hipMemcpy(dC, hC, sizeof(rocsparse_float_complex) * m * k, hipMemcpyHostToDevice)); // Create descriptors rocsparse_local_spmat A( m, m, nnz_A, dcsr_row_ptr, dcsr_col_ind, dcsr_val, itype, jtype, base, compute_type); rocsparse_local_dnmat B(k, m, ldb, dB, compute_type, order_B); rocsparse_local_dnmat C(m, k, ldc, dC, compute_type, order_C); 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))); // Query SpSM buffer size_t buffer_size; CHECK_ROCSPARSE_ERROR(rocsparse_spsm(handle, trans_A, trans_B, &halpha, A, B, C, compute_type, alg, rocsparse_spsm_stage_buffer_size, &buffer_size, nullptr)); // Allocate buffer void* dbuffer; CHECK_HIP_ERROR(rocsparse_hipMalloc(&dbuffer, buffer_size)); // Perform analysis on host CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host)); CHECK_ROCSPARSE_ERROR(rocsparse_spsm(handle, trans_A, trans_B, &halpha, A, B, C, compute_type, alg, rocsparse_spsm_stage_preprocess, nullptr, dbuffer)); CHECK_ROCSPARSE_ERROR(testing::rocsparse_spsm(handle, trans_A, trans_B, &halpha, A, B, C, compute_type, alg, rocsparse_spsm_stage_compute, &buffer_size, dbuffer)); CHECK_HIP_ERROR(hipDeviceSynchronize()); // Copy output to host CHECK_HIP_ERROR( hipMemcpy(hC, dC, sizeof(rocsparse_float_complex) * m * k, hipMemcpyDeviceToHost)); if(verbose) { std::cout << "C" << std::endl; if(order_C == rocsparse_order_column) { for(rocsparse_int i = 0; i < m; i++) { for(rocsparse_int j = 0; j < k; j++) { std::cout << hC[i + ldc * j] << " "; } std::cout << "" << std::endl; } } else { for(rocsparse_int i = 0; i < m; i++) { for(rocsparse_int j = 0; j < k; j++) { std::cout << hC[ldc * i + j] << " "; } std::cout << "" << std::endl; } } std::cout << "" << std::endl; } // Manually computed correct solution // C = (1, -1) (1, 0) // (-0.5, 2) (-2, -0.5) // (1.5, 0.5) (-1.5, -1.5) const host_vector hC_solution_row_order = {rocsparse_float_complex(1, -1), rocsparse_float_complex(1, 0), rocsparse_float_complex(-0.5, 2), rocsparse_float_complex(-2, -0.5), rocsparse_float_complex(1.5, 0.5), rocsparse_float_complex(-1.5, -1.5)}; const host_vector hC_solution_col_order = {rocsparse_float_complex(1, -1), rocsparse_float_complex(-0.5, 2), rocsparse_float_complex(1.5, 0.5), rocsparse_float_complex(1, 0), rocsparse_float_complex(-2, -0.5), rocsparse_float_complex(-1.5, -1.5)}; host_dense_matrix hC_gpu(m, k); for(rocsparse_int i = 0; i < m * k; i++) { hC_gpu[i] = hC[i]; } host_dense_matrix hC_cpu(m, k); for(rocsparse_int i = 0; i < m * k; i++) { hC_cpu[i] = (order_C == rocsparse_order_column) ? hC_solution_col_order[i] : hC_solution_row_order[i]; } hC_cpu.unit_check(hC_gpu); CHECK_HIP_ERROR(rocsparse_hipFree(dbuffer)); } static void testing_spsm_csr_extra1(const Arguments& arg) { spsm_csr_B_conjugate(arg, rocsparse_order_row, rocsparse_order_row); spsm_csr_B_conjugate(arg, rocsparse_order_row, rocsparse_order_column); spsm_csr_B_conjugate(arg, rocsparse_order_column, rocsparse_order_row); spsm_csr_B_conjugate(arg, rocsparse_order_column, rocsparse_order_column); } void testing_spsm_csr_extra(const Arguments& arg) { testing_spsm_csr_extra0(arg); testing_spsm_csr_extra1(arg); }