derek.holloway
7502bf64a4
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464 lines
23 KiB
C++
464 lines
23 KiB
C++
/*! \file */
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/* ************************************************************************
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* Copyright (C) 2020-2025 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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template <typename T>
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void testing_csrgeam_bad_arg(const Arguments& arg)
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{
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static const size_t safe_size = 1;
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T h_alpha = 0.6;
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T h_beta = 0.2;
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// Create rocsparse handle
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rocsparse_local_handle local_handle;
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// Create matrix descriptors
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rocsparse_local_mat_descr local_descr_A;
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rocsparse_local_mat_descr local_descr_B;
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rocsparse_local_mat_descr local_descr_C;
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rocsparse_handle handle = local_handle;
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rocsparse_int m = safe_size;
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rocsparse_int n = safe_size;
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const T* alpha = &h_alpha;
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const rocsparse_mat_descr descr_A = local_descr_A;
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rocsparse_int nnz_A = safe_size;
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const T* csr_val_A = (const T*)0x4;
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const rocsparse_int* csr_row_ptr_A = (const rocsparse_int*)0x4;
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const rocsparse_int* csr_col_ind_A = (const rocsparse_int*)0x4;
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const T* beta = &h_beta;
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const rocsparse_mat_descr descr_B = local_descr_B;
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rocsparse_int nnz_B = safe_size;
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const T* csr_val_B = (const T*)0x4;
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const rocsparse_int* csr_row_ptr_B = (const rocsparse_int*)0x4;
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const rocsparse_int* csr_col_ind_B = (const rocsparse_int*)0x4;
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const rocsparse_mat_descr descr_C = local_descr_C;
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T* csr_val_C = (T*)0x4;
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host_dense_vector<rocsparse_int> hcsr_row_ptr_C(safe_size + 1);
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hcsr_row_ptr_C[0] = 0;
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hcsr_row_ptr_C[1] = 1;
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device_dense_vector<rocsparse_int> dcsr_row_ptr_C(hcsr_row_ptr_C);
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rocsparse_int* csr_row_ptr_C = (rocsparse_int*)dcsr_row_ptr_C;
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rocsparse_int* csr_col_ind_C = (rocsparse_int*)0x4;
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rocsparse_int* nnz_C = (rocsparse_int*)0x4;
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#define PARAMS_NNZ \
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handle, m, n, descr_A, nnz_A, csr_row_ptr_A, csr_col_ind_A, descr_B, nnz_B, csr_row_ptr_B, \
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csr_col_ind_B, descr_C, csr_row_ptr_C, nnz_C
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#define PARAMS \
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handle, m, n, alpha, descr_A, nnz_A, csr_val_A, csr_row_ptr_A, csr_col_ind_A, beta, descr_B, \
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nnz_B, csr_val_B, csr_row_ptr_B, csr_col_ind_B, descr_C, csr_val_C, csr_row_ptr_C, \
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csr_col_ind_C
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bad_arg_analysis(rocsparse_csrgeam_nnz, PARAMS_NNZ);
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bad_arg_analysis(rocsparse_csrgeam<T>, PARAMS);
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for(auto val : rocsparse_matrix_type_t::values)
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{
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if(val != rocsparse_matrix_type_general)
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{
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CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_type(descr_A, val));
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CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_type(descr_B, val));
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CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_type(descr_C, val));
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EXPECT_ROCSPARSE_STATUS(rocsparse_csrgeam_nnz(PARAMS_NNZ),
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rocsparse_status_not_implemented);
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EXPECT_ROCSPARSE_STATUS(rocsparse_csrgeam<T>(PARAMS), rocsparse_status_not_implemented);
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}
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}
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CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_type(descr_A, rocsparse_matrix_type_general));
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CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_type(descr_B, rocsparse_matrix_type_general));
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CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_type(descr_C, rocsparse_matrix_type_general));
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CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_storage_mode(descr_A, rocsparse_storage_mode_unsorted));
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CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_storage_mode(descr_B, rocsparse_storage_mode_unsorted));
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CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_storage_mode(descr_C, rocsparse_storage_mode_unsorted));
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EXPECT_ROCSPARSE_STATUS(rocsparse_csrgeam_nnz(PARAMS_NNZ),
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rocsparse_status_requires_sorted_storage);
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EXPECT_ROCSPARSE_STATUS(rocsparse_csrgeam<T>(PARAMS), rocsparse_status_requires_sorted_storage);
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#undef PARAMS
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#undef PARAMS_NNZ
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}
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template <typename T>
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void testing_csrgeam(const Arguments& arg)
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{
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rocsparse_int M = arg.M;
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rocsparse_int N = arg.N;
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rocsparse_index_base baseA = arg.baseA;
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rocsparse_index_base baseB = arg.baseB;
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rocsparse_index_base baseC = arg.baseC;
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static constexpr bool full_rank = false;
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rocsparse_matrix_factory<T> matrix_factory(arg, arg.timing ? false : true, full_rank);
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rocsparse_matrix_factory_random<T> matrix_factory_random(full_rank);
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host_scalar<T> h_alpha(arg.get_alpha<T>());
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host_scalar<T> h_beta(arg.get_beta<T>());
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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 descrA;
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rocsparse_local_mat_descr descrB;
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rocsparse_local_mat_descr descrC;
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// Set matrix index base
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CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_index_base(descrA, baseA));
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CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_index_base(descrB, baseB));
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CHECK_ROCSPARSE_ERROR(rocsparse_set_mat_index_base(descrC, baseC));
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// Allocate host memory for matrices
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host_vector<rocsparse_int> hcsr_row_ptr_A;
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host_vector<rocsparse_int> hcsr_col_ind_A;
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host_vector<T> hcsr_val_A;
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host_vector<rocsparse_int> hcsr_row_ptr_B;
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host_vector<rocsparse_int> hcsr_col_ind_B;
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host_vector<T> hcsr_val_B;
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// Sample matrix
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rocsparse_int nnz_A = 4;
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rocsparse_int nnz_B = 4;
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rocsparse_int hnnz_C_gold;
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rocsparse_int hnnz_C_1;
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rocsparse_int hnnz_C_2;
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// Sample A
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matrix_factory.init_csr(hcsr_row_ptr_A, hcsr_col_ind_A, hcsr_val_A, M, N, nnz_A, baseA);
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// Sample B
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matrix_factory_random.init_csr(hcsr_row_ptr_B,
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hcsr_col_ind_B,
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hcsr_val_B,
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M,
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N,
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nnz_B,
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baseB,
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rocsparse_matrix_type_general,
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rocsparse_fill_mode_lower,
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rocsparse_storage_mode_sorted);
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// Allocate device memory
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device_vector<rocsparse_int> dcsr_row_ptr_A(M + 1);
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device_vector<rocsparse_int> dcsr_col_ind_A(nnz_A);
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device_vector<T> dcsr_val_A(nnz_A);
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device_vector<rocsparse_int> dcsr_row_ptr_B(M + 1);
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device_vector<rocsparse_int> dcsr_col_ind_B(nnz_B);
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device_vector<T> dcsr_val_B(nnz_B);
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device_scalar<T> d_alpha(h_alpha);
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device_scalar<T> d_beta(h_beta);
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device_vector<rocsparse_int> dcsr_row_ptr_C_1(M + 1);
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device_vector<rocsparse_int> dcsr_row_ptr_C_2(M + 1);
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device_vector<rocsparse_int> dnnz_C_2(1);
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// Copy data from CPU to device
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dcsr_row_ptr_A.transfer_from(hcsr_row_ptr_A);
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dcsr_col_ind_A.transfer_from(hcsr_col_ind_A);
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dcsr_val_A.transfer_from(hcsr_val_A);
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dcsr_row_ptr_B.transfer_from(hcsr_row_ptr_B);
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dcsr_col_ind_B.transfer_from(hcsr_col_ind_B);
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dcsr_val_B.transfer_from(hcsr_val_B);
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if(arg.unit_check)
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{
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// Obtain nnz of C
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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_csrgeam_nnz(handle,
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M,
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N,
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descrA,
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nnz_A,
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dcsr_row_ptr_A,
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dcsr_col_ind_A,
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descrB,
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nnz_B,
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dcsr_row_ptr_B,
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dcsr_col_ind_B,
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descrC,
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dcsr_row_ptr_C_1,
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&hnnz_C_1));
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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_csrgeam_nnz(handle,
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M,
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N,
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descrA,
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nnz_A,
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dcsr_row_ptr_A,
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dcsr_col_ind_A,
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descrB,
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nnz_B,
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dcsr_row_ptr_B,
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dcsr_col_ind_B,
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descrC,
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dcsr_row_ptr_C_2,
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dnnz_C_2));
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// Copy output to host
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host_vector<rocsparse_int> hcsr_row_ptr_C_1(M + 1);
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host_vector<rocsparse_int> hcsr_row_ptr_C_2(M + 1);
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CHECK_HIP_ERROR(
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hipMemcpy(&hnnz_C_2, dnnz_C_2, sizeof(rocsparse_int), hipMemcpyDeviceToHost));
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hcsr_row_ptr_C_1.transfer_from(dcsr_row_ptr_C_1);
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hcsr_row_ptr_C_2.transfer_from(dcsr_row_ptr_C_2);
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// CPU csrgemm_nnz
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host_vector<rocsparse_int> hcsr_row_ptr_C_gold(M + 1);
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host_csrgeam_nnz<T, rocsparse_int, rocsparse_int>(M,
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N,
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h_alpha,
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hcsr_row_ptr_A,
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hcsr_col_ind_A,
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h_beta,
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hcsr_row_ptr_B,
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hcsr_col_ind_B,
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hcsr_row_ptr_C_gold,
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&hnnz_C_gold,
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baseA,
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baseB,
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baseC);
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// Check nnz of C
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unit_check_scalar(hnnz_C_gold, hnnz_C_1);
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unit_check_scalar(hnnz_C_gold, hnnz_C_2);
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// Check row pointers of C
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hcsr_row_ptr_C_gold.unit_check(hcsr_row_ptr_C_1);
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hcsr_row_ptr_C_gold.unit_check(hcsr_row_ptr_C_2);
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// Allocate device memory for C
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device_vector<rocsparse_int> dcsr_col_ind_C_1(hnnz_C_1);
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device_vector<rocsparse_int> dcsr_col_ind_C_2(hnnz_C_2);
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device_vector<T> dcsr_val_C_1(hnnz_C_1);
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device_vector<T> dcsr_val_C_2(hnnz_C_2);
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// Perform matrix matrix multiplication
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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(testing::rocsparse_csrgeam<T>(handle,
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M,
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N,
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h_alpha,
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descrA,
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nnz_A,
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dcsr_val_A,
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dcsr_row_ptr_A,
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dcsr_col_ind_A,
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h_beta,
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descrB,
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nnz_B,
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dcsr_val_B,
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dcsr_row_ptr_B,
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dcsr_col_ind_B,
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descrC,
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dcsr_val_C_1,
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dcsr_row_ptr_C_1,
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dcsr_col_ind_C_1));
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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(testing::rocsparse_csrgeam<T>(handle,
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M,
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N,
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d_alpha,
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descrA,
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nnz_A,
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dcsr_val_A,
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dcsr_row_ptr_A,
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dcsr_col_ind_A,
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d_beta,
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descrB,
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nnz_B,
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dcsr_val_B,
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dcsr_row_ptr_B,
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dcsr_col_ind_B,
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descrC,
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dcsr_val_C_2,
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dcsr_row_ptr_C_2,
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dcsr_col_ind_C_2));
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// Copy output to host
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host_vector<rocsparse_int> hcsr_col_ind_C_1(hnnz_C_1);
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host_vector<rocsparse_int> hcsr_col_ind_C_2(hnnz_C_2);
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host_vector<T> hcsr_val_C_1(hnnz_C_1);
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host_vector<T> hcsr_val_C_2(hnnz_C_2);
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hcsr_col_ind_C_1.transfer_from(dcsr_col_ind_C_1);
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hcsr_col_ind_C_2.transfer_from(dcsr_col_ind_C_2);
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hcsr_val_C_1.transfer_from(dcsr_val_C_1);
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hcsr_val_C_2.transfer_from(dcsr_val_C_2);
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// CPU csrgemm
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host_vector<rocsparse_int> hcsr_col_ind_C_gold(hnnz_C_gold);
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host_vector<T> hcsr_val_C_gold(hnnz_C_gold);
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host_csrgeam<T, rocsparse_int, rocsparse_int>(M,
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N,
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h_alpha,
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hcsr_row_ptr_A,
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hcsr_col_ind_A,
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hcsr_val_A,
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h_beta,
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hcsr_row_ptr_B,
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hcsr_col_ind_B,
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hcsr_val_B,
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hcsr_row_ptr_C_gold,
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hcsr_col_ind_C_gold,
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hcsr_val_C_gold,
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baseA,
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baseB,
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baseC);
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if(ROCSPARSE_REPRODUCIBILITY)
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{
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rocsparse_reproducibility::save("hcsr_row_ptr_C_1", hcsr_row_ptr_C_1);
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rocsparse_reproducibility::save("hcsr_col_ind_C_1", hcsr_col_ind_C_1);
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rocsparse_reproducibility::save("hcsr_val_C_1", hcsr_val_C_1);
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rocsparse_reproducibility::save("hcsr_row_ptr_C_2", hcsr_row_ptr_C_2);
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rocsparse_reproducibility::save("hcsr_col_ind_C_2", hcsr_col_ind_C_2);
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rocsparse_reproducibility::save("hcsr_val_C_2", hcsr_val_C_2);
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}
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// Check C
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hcsr_col_ind_C_gold.unit_check(hcsr_col_ind_C_1);
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hcsr_col_ind_C_gold.unit_check(hcsr_col_ind_C_2);
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|
|
|
hcsr_val_C_gold.near_check(hcsr_val_C_1);
|
|
hcsr_val_C_gold.near_check(hcsr_val_C_2);
|
|
}
|
|
|
|
if(arg.timing)
|
|
{
|
|
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
|
|
|
|
rocsparse_int nnz_C;
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_csrgeam_nnz(handle,
|
|
M,
|
|
N,
|
|
descrA,
|
|
nnz_A,
|
|
dcsr_row_ptr_A,
|
|
dcsr_col_ind_A,
|
|
descrB,
|
|
nnz_B,
|
|
dcsr_row_ptr_B,
|
|
dcsr_col_ind_B,
|
|
descrC,
|
|
dcsr_row_ptr_C_1,
|
|
&nnz_C));
|
|
|
|
device_vector<rocsparse_int> dcsr_col_ind_C(nnz_C);
|
|
device_vector<T> dcsr_val_C(nnz_C);
|
|
|
|
const double gpu_analysis_time_used
|
|
= rocsparse_clients::run_benchmark(arg,
|
|
rocsparse_csrgeam_nnz,
|
|
handle,
|
|
M,
|
|
N,
|
|
descrA,
|
|
nnz_A,
|
|
dcsr_row_ptr_A,
|
|
dcsr_col_ind_A,
|
|
descrB,
|
|
nnz_B,
|
|
dcsr_row_ptr_B,
|
|
dcsr_col_ind_B,
|
|
descrC,
|
|
dcsr_row_ptr_C_1,
|
|
&nnz_C);
|
|
|
|
const double gpu_solve_time_used = rocsparse_clients::run_benchmark(arg,
|
|
rocsparse_csrgeam<T>,
|
|
handle,
|
|
M,
|
|
N,
|
|
h_alpha,
|
|
descrA,
|
|
nnz_A,
|
|
dcsr_val_A,
|
|
dcsr_row_ptr_A,
|
|
dcsr_col_ind_A,
|
|
h_beta,
|
|
descrB,
|
|
nnz_B,
|
|
dcsr_val_B,
|
|
dcsr_row_ptr_B,
|
|
dcsr_col_ind_B,
|
|
descrC,
|
|
dcsr_val_C,
|
|
dcsr_row_ptr_C_1,
|
|
dcsr_col_ind_C);
|
|
|
|
double gflop_count = csrgeam_gflop_count<T>(nnz_A, nnz_B, nnz_C, h_alpha, h_beta);
|
|
double gbyte_count = csrgeam_gbyte_count<T>(M, nnz_A, nnz_B, nnz_C, h_alpha, h_beta);
|
|
|
|
double gpu_gflops = get_gpu_gflops(gpu_solve_time_used, gflop_count);
|
|
double gpu_gbyte = get_gpu_gbyte(gpu_solve_time_used, gbyte_count);
|
|
|
|
display_timing_info(display_key_t::M,
|
|
M,
|
|
display_key_t::N,
|
|
N,
|
|
display_key_t::nnz_A,
|
|
nnz_A,
|
|
display_key_t::nnz_B,
|
|
nnz_B,
|
|
display_key_t::nnz_C,
|
|
nnz_C,
|
|
display_key_t::alpha,
|
|
*h_alpha,
|
|
display_key_t::beta,
|
|
*h_beta,
|
|
display_key_t::gflops,
|
|
gpu_gflops,
|
|
display_key_t::bandwidth,
|
|
gpu_gbyte,
|
|
display_key_t::analysis_time_ms,
|
|
get_gpu_time_msec(gpu_analysis_time_used),
|
|
display_key_t::time_ms,
|
|
get_gpu_time_msec(gpu_solve_time_used));
|
|
}
|
|
}
|
|
|
|
#define INSTANTIATE(TYPE) \
|
|
template void testing_csrgeam_bad_arg<TYPE>(const Arguments& arg); \
|
|
template void testing_csrgeam<TYPE>(const Arguments& arg)
|
|
INSTANTIATE(float);
|
|
INSTANTIATE(double);
|
|
INSTANTIATE(rocsparse_float_complex);
|
|
INSTANTIATE(rocsparse_double_complex);
|
|
void testing_csrgeam_extra(const Arguments& arg) {}
|