/* ************************************************************************ * Copyright (C) 2021-2026 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.hpp" template void testing_spmm_coo_bad_arg(const Arguments& arg) { static const size_t safe_size = 100; // Create rocsparse handle rocsparse_local_handle local_handle; rocsparse_handle handle = local_handle; I m = safe_size; I n = safe_size; I k = safe_size; int64_t nnz = safe_size; const T* alpha = (const T*)0x4; const T* beta = (const T*)0x4; void* coo_val = (void*)0x4; void* coo_row_ind = (void*)0x4; void* coo_col_ind = (void*)0x4; void* dense_B = (void*)0x4; void* dense_C = (void*)0x4; rocsparse_operation trans_A = rocsparse_operation_none; rocsparse_operation trans_B = rocsparse_operation_none; rocsparse_index_base base = rocsparse_index_base_zero; rocsparse_order order_B = rocsparse_order_column; rocsparse_order order_C = rocsparse_order_column; rocsparse_spmm_alg alg = rocsparse_spmm_alg_default; rocsparse_spmm_stage stage = rocsparse_spmm_stage_compute; rocsparse_indextype itype = get_indextype(); rocsparse_datatype atype = get_datatype(); rocsparse_datatype btype = get_datatype(); rocsparse_datatype ctype = get_datatype(); rocsparse_datatype compute_type = get_datatype(); // SpMM structures rocsparse_local_spmat local_mat_A( m, k, nnz, coo_row_ind, coo_col_ind, coo_val, itype, base, atype); rocsparse_local_dnmat local_mat_B(k, n, k, dense_B, btype, order_B); rocsparse_local_dnmat local_mat_C(m, n, m, dense_C, ctype, order_C); rocsparse_spmat_descr mat_A = local_mat_A; rocsparse_dnmat_descr mat_B = local_mat_B; rocsparse_dnmat_descr mat_C = local_mat_C; int nargs_to_exclude = 2; const int args_to_exclude[2] = {11, 12}; #define PARAMS \ handle, trans_A, trans_B, alpha, mat_A, mat_B, beta, mat_C, compute_type, alg, stage, \ buffer_size, temp_buffer { size_t* buffer_size = (size_t*)0x4; void* temp_buffer = (void*)0x4; select_bad_arg_analysis(rocsparse_spmm, nargs_to_exclude, args_to_exclude, PARAMS); } { size_t* buffer_size = (size_t*)0x4; void* temp_buffer = nullptr; select_bad_arg_analysis(rocsparse_spmm, nargs_to_exclude, args_to_exclude, PARAMS); } { size_t* buffer_size = nullptr; void* temp_buffer = (void*)0x4; select_bad_arg_analysis(rocsparse_spmm, nargs_to_exclude, args_to_exclude, PARAMS); } { size_t* buffer_size = nullptr; void* temp_buffer = nullptr; select_bad_arg_analysis(rocsparse_spmm, nargs_to_exclude, args_to_exclude, PARAMS); } #undef PARAMS } template void testing_spmm_coo(const Arguments& arg) { I M = arg.M; I N = arg.N; I K = arg.K; rocsparse_operation trans_A = arg.transA; rocsparse_operation trans_B = arg.transB; rocsparse_index_base base = arg.baseA; rocsparse_spmm_alg alg = arg.spmm_alg; 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; T halpha = arg.get_alpha(); T hbeta = arg.get_beta(); // Index and data type rocsparse_indextype itype = get_indextype(); rocsparse_datatype atype = get_datatype(); rocsparse_datatype btype = get_datatype(); rocsparse_datatype ctype = get_datatype(); rocsparse_datatype ttype = get_datatype(); // Create rocsparse handle rocsparse_local_handle handle(arg); // Allocate host memory for matrix host_vector hcoo_row_ind; host_vector hcoo_col_ind; host_vector hcoo_val; // Allocate host memory for matrix rocsparse_matrix_factory matrix_factory(arg); int64_t nnz_A; matrix_factory.init_coo(hcoo_row_ind, hcoo_col_ind, hcoo_val, (trans_A == rocsparse_operation_none) ? M : K, (trans_A == rocsparse_operation_none) ? K : M, nnz_A, base); // Redefine values rocsparse_init_1d_array( hcoo_val, nnz_A, arg.convert_to_int, arg.rand_gen_min, arg.rand_gen_max); // Some matrix properties I A_m = (trans_A == rocsparse_operation_none) ? M : K; I A_n = (trans_A == rocsparse_operation_none) ? K : M; I B_m = (trans_B == rocsparse_operation_none) ? K : N; I B_n = (trans_B == rocsparse_operation_none) ? N : K; I C_m = M; I C_n = N; int64_t ldb = (order_B == rocsparse_order_column) ? ((trans_B == rocsparse_operation_none) ? (int64_t(ld_multiplier_B) * K) : (int64_t(ld_multiplier_B) * N)) : ((trans_B == rocsparse_operation_none) ? (int64_t(ld_multiplier_B) * N) : (int64_t(ld_multiplier_B) * K)); ldb = std::max(ldb, int64_t(1)); int64_t ldc = (order_C == rocsparse_order_column) ? (int64_t(ld_multiplier_C) * M) : (int64_t(ld_multiplier_C) * N); ldc = std::max(ldc, int64_t(1)); 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; int64_t nnz_B = nrowB * ncolB; int64_t nnz_C = nrowC * ncolC; // Allocate host memory for vectors host_vector hB(nnz_B); host_vector hC_1(nnz_C, 0); host_vector hC_2(nnz_C, 0); host_vector hC_gold(nnz_C, 0); // Initialize data on CPU rocsparse_init_1d_array(hB, nnz_B, arg.convert_to_int, arg.rand_gen_min, arg.rand_gen_max); rocsparse_init_1d_array(hC_1, nnz_C, arg.convert_to_int, arg.rand_gen_min, arg.rand_gen_max); hC_2 = hC_1; hC_gold = hC_1; // Allocate device memory device_vector dcoo_row_ind(nnz_A); device_vector dcoo_col_ind(nnz_A); device_vector dcoo_val(nnz_A); device_vector dB(nnz_B); device_vector dC_1(nnz_C); device_vector dC_2(nnz_C); device_vector dalpha(1); device_vector dbeta(1); // Copy data from CPU to device CHECK_HIP_ERROR( hipMemcpy(dcoo_row_ind, hcoo_row_ind.data(), sizeof(I) * nnz_A, hipMemcpyHostToDevice)); CHECK_HIP_ERROR( hipMemcpy(dcoo_col_ind, hcoo_col_ind.data(), sizeof(I) * nnz_A, hipMemcpyHostToDevice)); CHECK_HIP_ERROR(hipMemcpy(dcoo_val, hcoo_val.data(), sizeof(A) * nnz_A, hipMemcpyHostToDevice)); CHECK_HIP_ERROR(hipMemcpy(dB, hB, sizeof(B) * nnz_B, hipMemcpyHostToDevice)); CHECK_HIP_ERROR(hipMemcpy(dC_1, hC_1, sizeof(C) * nnz_C, hipMemcpyHostToDevice)); CHECK_HIP_ERROR(hipMemcpy(dC_2, hC_2, sizeof(C) * nnz_C, hipMemcpyHostToDevice)); CHECK_HIP_ERROR(hipMemcpy(dalpha, &halpha, sizeof(T), hipMemcpyHostToDevice)); CHECK_HIP_ERROR(hipMemcpy(dbeta, &hbeta, sizeof(T), hipMemcpyHostToDevice)); // Create descriptors rocsparse_local_spmat mat_A( A_m, A_n, nnz_A, dcoo_row_ind, dcoo_col_ind, dcoo_val, itype, base, atype); rocsparse_local_dnmat mat_B(B_m, B_n, ldb, dB, btype, order_B); rocsparse_local_dnmat mat_C1(C_m, C_n, ldc, dC_1, ctype, order_C); rocsparse_local_dnmat mat_C2(C_m, C_n, ldc, dC_2, ctype, order_C); // Query SpMM buffer size_t buffer_size; CHECK_ROCSPARSE_ERROR(rocsparse_spmm(handle, trans_A, trans_B, &halpha, mat_A, mat_B, &hbeta, mat_C1, ttype, alg, rocsparse_spmm_stage_buffer_size, &buffer_size, nullptr)); // Allocate buffer void* dbuffer; CHECK_HIP_ERROR(rocsparse_hipMalloc(&dbuffer, buffer_size)); CHECK_ROCSPARSE_ERROR(rocsparse_spmm(handle, trans_A, trans_B, &halpha, mat_A, mat_B, &hbeta, mat_C1, ttype, alg, rocsparse_spmm_stage_preprocess, &buffer_size, dbuffer)); if(arg.unit_check) { // SpMM // Pointer mode host CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host)); CHECK_ROCSPARSE_ERROR(testing::rocsparse_spmm(handle, trans_A, trans_B, &halpha, mat_A, mat_B, &hbeta, mat_C1, ttype, alg, rocsparse_spmm_stage_compute, &buffer_size, dbuffer)); if(ROCSPARSE_REPRODUCIBILITY) { rocsparse_reproducibility::save("dC_1", dC_1); } // Pointer mode device CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device)); CHECK_ROCSPARSE_ERROR(testing::rocsparse_spmm(handle, trans_A, trans_B, dalpha, mat_A, mat_B, dbeta, mat_C2, ttype, alg, rocsparse_spmm_stage_compute, &buffer_size, dbuffer)); if(ROCSPARSE_REPRODUCIBILITY) { rocsparse_reproducibility::save("dC_2", dC_2); } // Copy output to host CHECK_HIP_ERROR(hipMemcpy(hC_1, dC_1, sizeof(C) * nnz_C, hipMemcpyDeviceToHost)); CHECK_HIP_ERROR(hipMemcpy(hC_2, dC_2, sizeof(C) * nnz_C, hipMemcpyDeviceToHost)); // CPU coomm host_coomm(A_m, N, A_n, nnz_A, trans_A, trans_B, halpha, hcoo_row_ind.data(), hcoo_col_ind.data(), hcoo_val.data(), hB.data(), ldb, order_B, hbeta, hC_gold.data(), ldc, order_C, base); hC_gold.near_check(hC_1, get_near_check_tol(arg)); hC_gold.near_check(hC_2, get_near_check_tol(arg)); } 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_spmm, handle, trans_A, trans_B, &halpha, mat_A, mat_B, &hbeta, mat_C1, ttype, alg, rocsparse_spmm_stage_compute, &buffer_size, dbuffer); double gflop_count = spmm_gflop_count(N, nnz_A, nnz_C, hbeta != static_cast(0)); double gbyte_count = coomm_gbyte_count(nnz_A, nnz_B, nnz_C, hbeta != static_cast(0)); double gpu_gbyte = get_gpu_gbyte(gpu_time_used, gbyte_count); double gpu_gflops = get_gpu_gflops(gpu_time_used, gflop_count); display_timing_info(display_key_t::M, M, display_key_t::N, N, display_key_t::K, K, display_key_t::nnz_A, nnz_A, display_key_t::alpha, halpha, display_key_t::beta, hbeta, display_key_t::algorithm, rocsparse_spmmalg2string(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, TTYPE) \ template void testing_spmm_coo_bad_arg( \ const Arguments& arg); \ template void testing_spmm_coo(const Arguments& arg) #define INSTANTIATE_MIXED(ITYPE, ATYPE, XTYPE, YTYPE, TTYPE) \ template void testing_spmm_coo_bad_arg( \ const Arguments& arg); \ template void testing_spmm_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); INSTANTIATE_MIXED(int32_t, int8_t, int8_t, int32_t, int32_t); INSTANTIATE_MIXED(int64_t, int8_t, int8_t, int32_t, int32_t); INSTANTIATE_MIXED(int32_t, int8_t, int8_t, float, float); INSTANTIATE_MIXED(int64_t, int8_t, int8_t, float, float); INSTANTIATE_MIXED(int32_t, _Float16, _Float16, float, float); INSTANTIATE_MIXED(int64_t, _Float16, _Float16, float, float); INSTANTIATE_MIXED(int32_t, rocsparse_bfloat16, rocsparse_bfloat16, float, float); INSTANTIATE_MIXED(int64_t, rocsparse_bfloat16, rocsparse_bfloat16, float, float); INSTANTIATE_MIXED(int32_t, _Float16, _Float16, _Float16, float); INSTANTIATE_MIXED(int64_t, _Float16, _Float16, _Float16, float); INSTANTIATE_MIXED(int32_t, rocsparse_bfloat16, rocsparse_bfloat16, rocsparse_bfloat16, float); INSTANTIATE_MIXED(int64_t, rocsparse_bfloat16, rocsparse_bfloat16, rocsparse_bfloat16, float); void testing_spmm_coo_extra(const Arguments& arg) {}