derek.holloway
7502bf64a4
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434 lines
18 KiB
C++
434 lines
18 KiB
C++
/* ************************************************************************
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* Copyright (C) 2022-2025 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 "testing.hpp"
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template <typename I, typename J, typename T>
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void testing_spitsv_csr_bad_arg(const Arguments& arg)
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{
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J m = 100;
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J n = 100;
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I nnz = 100;
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const T local_alpha = T(0.6);
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const T* alpha = &local_alpha;
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rocsparse_int* host_nmaxiter = (rocsparse_int*)0x4;
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const floating_data_t<T>* host_tol = (const floating_data_t<T>*)0x4;
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floating_data_t<T>* host_history = (floating_data_t<T>*)0x4;
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rocsparse_operation trans = rocsparse_operation_none;
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rocsparse_index_base base = rocsparse_index_base_zero;
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rocsparse_spitsv_alg alg = rocsparse_spitsv_alg_default;
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// Index and data type
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rocsparse_indextype itype = get_indextype<I>();
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rocsparse_indextype jtype = get_indextype<J>();
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rocsparse_datatype compute_type = get_datatype<T>();
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// Create rocsparse handle
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rocsparse_local_handle local_handle;
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// Spitsv structures
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rocsparse_local_spmat local_A(
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m, n, nnz, (void*)0x4, (void*)0x4, (void*)0x4, itype, jtype, base, compute_type);
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rocsparse_local_dnvec local_x(m, (void*)0x4, compute_type);
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rocsparse_local_dnvec local_y(m, (void*)0x4, compute_type);
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int nargs_to_exclude = 4;
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const int args_to_exclude[4] = {2, 3, 12, 13};
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rocsparse_handle handle = local_handle;
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rocsparse_spmat_descr mat = local_A;
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rocsparse_dnvec_descr x = local_x;
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rocsparse_dnvec_descr y = local_y;
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size_t local_buffer_size;
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size_t* buffer_size = &local_buffer_size;
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void* temp_buffer = (void*)0x4;
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#define PARAMS_BUFFER_SIZE \
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handle, host_nmaxiter, host_tol, host_history, trans, alpha, mat, x, y, compute_type, alg, \
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stage, buffer_size, temp_buffer
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#define PARAMS_ANALYSIS \
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handle, host_nmaxiter, host_tol, host_history, trans, alpha, mat, x, y, compute_type, alg, \
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stage, buffer_size, temp_buffer
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#define PARAMS_SOLVE \
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handle, host_nmaxiter, host_tol, host_history, trans, alpha, mat, x, y, compute_type, alg, \
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stage, buffer_size, temp_buffer
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rocsparse_spitsv_stage stage = rocsparse_spitsv_stage_buffer_size;
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select_bad_arg_analysis(
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rocsparse_spitsv, nargs_to_exclude, args_to_exclude, PARAMS_BUFFER_SIZE);
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stage = rocsparse_spitsv_stage_preprocess;
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select_bad_arg_analysis(rocsparse_spitsv, nargs_to_exclude, args_to_exclude, PARAMS_ANALYSIS);
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stage = rocsparse_spitsv_stage_compute;
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select_bad_arg_analysis(rocsparse_spitsv, nargs_to_exclude, args_to_exclude, PARAMS_SOLVE);
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#undef PARAMS_BUFFER_SIZE
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#undef PARAMS_ANALYSIS
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#undef PARAMS_SOLVE
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}
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template <typename I, typename J, typename T>
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void testing_spitsv_csr(const Arguments& arg)
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{
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auto tol = get_near_check_tol<T>(arg);
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//
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// Set nmaxiter.
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//
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static constexpr rocsparse_int s_nmaxiter = 200;
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rocsparse_int host_nmaxiter[1] = {s_nmaxiter};
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//
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// Tolerance for the iterative method.
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//
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floating_data_t<T> tol_iterative = static_cast<floating_data_t<T>>(1.0e-6);
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if(std::is_same<floating_data_t<T>, double>{})
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tol_iterative = static_cast<floating_data_t<T>>(1.0e-14);
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floating_data_t<T> host_tol[1] = {tol_iterative};
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floating_data_t<T> host_history[s_nmaxiter];
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J M = arg.M;
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J N = arg.N;
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rocsparse_operation trans_A = arg.transA;
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rocsparse_index_base base = arg.baseA;
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rocsparse_spitsv_alg alg = arg.spitsv_alg;
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rocsparse_diag_type diag = arg.diag;
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rocsparse_fill_mode uplo = arg.uplo;
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T halpha = arg.get_alpha<T>();
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// Index and data type
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rocsparse_indextype itype = get_indextype<I>();
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rocsparse_indextype jtype = get_indextype<J>();
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rocsparse_datatype ttype = get_datatype<T>();
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// Create rocsparse handle
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rocsparse_local_handle handle;
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rocsparse_matrix_factory<T, I, J> matrix_factory(arg, false, true);
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// Allocate host memory for matrix
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host_vector<I> hcsr_row_ptr;
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host_vector<J> hcsr_col_ind;
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host_vector<T> hcsr_val;
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// Sample matrix
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I nnz_A;
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matrix_factory.init_csr(hcsr_row_ptr, hcsr_col_ind, hcsr_val, M, N, nnz_A, base);
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// Non-squared matrices are not supported
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if(M != N)
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{
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return;
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}
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floating_data_t<T> mx = 0;
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for(rocsparse_int i = 0; i < nnz_A; ++i)
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mx = std::max(mx, std::abs(hcsr_val[i]));
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if(mx > 0)
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{
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for(rocsparse_int i = 0; i < nnz_A; ++i)
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hcsr_val[i] /= mx;
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}
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// Allocate host memory for vectors
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host_vector<T> hx(M);
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host_vector<T> hy_1(M);
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host_vector<T> hy_2(M);
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host_vector<T> hy_gold(M);
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// Initialize data on CPU
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rocsparse_init<T>(hx, M, 1, 1, arg.convert_to_int);
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rocsparse_init<T>(hy_1, M, 1, 1, arg.convert_to_int);
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hy_2 = hy_1;
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hy_gold = hy_1;
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// Allocate device memory
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device_vector<I> dcsr_row_ptr(M + 1);
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device_vector<J> dcsr_col_ind(nnz_A);
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device_vector<T> dcsr_val(nnz_A);
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device_vector<T> dx(M);
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device_vector<T> dy_1(M);
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device_vector<T> dy_2(M);
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device_vector<T> dalpha(1);
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// Copy data from CPU to device
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CHECK_HIP_ERROR(
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hipMemcpy(dcsr_row_ptr, hcsr_row_ptr.data(), sizeof(I) * (M + 1), hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(
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hipMemcpy(dcsr_col_ind, hcsr_col_ind.data(), sizeof(J) * nnz_A, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dcsr_val, hcsr_val.data(), sizeof(T) * nnz_A, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dx, hx, sizeof(T) * M, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dy_1, hy_1, sizeof(T) * M, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dy_2, hy_2, sizeof(T) * M, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dalpha, &halpha, sizeof(T), hipMemcpyHostToDevice));
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// Create descriptors
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rocsparse_local_spmat A(
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M, N, nnz_A, dcsr_row_ptr, dcsr_col_ind, dcsr_val, itype, jtype, base, ttype);
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rocsparse_local_dnvec x(M, dx, ttype);
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rocsparse_local_dnvec y1(M, dy_1, ttype);
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rocsparse_local_dnvec y2(M, dy_2, ttype);
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CHECK_ROCSPARSE_ERROR(
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rocsparse_spmat_set_attribute(A, rocsparse_spmat_fill_mode, &uplo, sizeof(uplo)));
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CHECK_ROCSPARSE_ERROR(
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rocsparse_spmat_set_attribute(A, rocsparse_spmat_diag_type, &diag, sizeof(diag)));
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// Query Spitsv buffer
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size_t buffer_size;
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CHECK_ROCSPARSE_ERROR(rocsparse_spitsv(handle,
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host_nmaxiter,
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host_tol,
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host_history,
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trans_A,
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&halpha,
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A,
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x,
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y1,
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ttype,
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alg,
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rocsparse_spitsv_stage_buffer_size,
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&buffer_size,
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nullptr));
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// Allocate buffer
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void* dbuffer;
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CHECK_HIP_ERROR(rocsparse_hipMalloc(&dbuffer, buffer_size));
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// Perform analysis on 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_spitsv(handle,
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host_nmaxiter,
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host_tol,
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host_history,
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trans_A,
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&halpha,
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A,
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x,
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y1,
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ttype,
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alg,
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rocsparse_spitsv_stage_preprocess,
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nullptr,
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dbuffer));
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// Perform analysis on 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_spitsv(handle,
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host_nmaxiter,
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host_tol,
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host_history,
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trans_A,
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dalpha,
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A,
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x,
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y2,
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ttype,
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alg,
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rocsparse_spitsv_stage_preprocess,
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nullptr,
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dbuffer));
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if(arg.unit_check)
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{
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// Solve on host
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CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
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CHECK_HIP_ERROR(hipMemset(dy_1, 0, sizeof(T) * M));
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host_nmaxiter[0] = s_nmaxiter;
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CHECK_ROCSPARSE_ERROR(rocsparse_spitsv(handle,
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host_nmaxiter,
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host_tol,
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host_history,
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trans_A,
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&halpha,
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A,
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x,
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y1,
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ttype,
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alg,
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rocsparse_spitsv_stage_compute,
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&buffer_size,
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dbuffer));
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// Solve on device
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CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device));
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CHECK_HIP_ERROR(hipMemset(dy_2, 0, sizeof(T) * M));
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host_nmaxiter[0] = s_nmaxiter;
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CHECK_ROCSPARSE_ERROR(rocsparse_spitsv(handle,
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host_nmaxiter,
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host_tol,
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host_history,
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trans_A,
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dalpha,
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A,
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x,
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y2,
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ttype,
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alg,
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rocsparse_spitsv_stage_compute,
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&buffer_size,
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dbuffer));
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CHECK_HIP_ERROR(hipDeviceSynchronize());
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// Copy output to host
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CHECK_HIP_ERROR(hipMemcpy(hy_1, dy_1, sizeof(T) * M, hipMemcpyDeviceToHost));
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CHECK_HIP_ERROR(hipMemcpy(hy_2, dy_2, sizeof(T) * M, hipMemcpyDeviceToHost));
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// CPU csrsv
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J analysis_pivot = -1;
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J solve_pivot = -1;
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host_csrsv<I, J, T>(trans_A,
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M,
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nnz_A,
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halpha,
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hcsr_row_ptr,
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hcsr_col_ind,
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hcsr_val,
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hx,
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(int64_t)1,
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hy_gold,
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diag,
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uplo,
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base,
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&analysis_pivot,
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&solve_pivot);
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if(analysis_pivot == -1 && solve_pivot == -1)
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{
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if(ROCSPARSE_REPRODUCIBILITY)
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{
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rocsparse_reproducibility::save(
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"Y pointe mode host", hy_1, "Y pointe mode device", hy_2);
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}
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hy_gold.near_check(hy_1, tol);
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hy_gold.near_check(hy_2, tol);
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}
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}
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if(arg.timing)
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{
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int number_cold_calls = 2;
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int number_hot_calls = arg.iters;
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CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
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// Warm up
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for(int iter = 0; iter < number_cold_calls; ++iter)
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{
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CHECK_HIP_ERROR(hipMemset(dy_1, 0, sizeof(T) * M));
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host_nmaxiter[0] = s_nmaxiter;
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CHECK_ROCSPARSE_ERROR(rocsparse_spitsv(handle,
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host_nmaxiter,
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host_tol,
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host_history,
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trans_A,
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&halpha,
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A,
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x,
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y1,
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ttype,
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alg,
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rocsparse_spitsv_stage_compute,
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&buffer_size,
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dbuffer));
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}
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double gpu_time_used = 0;
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// Performance run
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for(int iter = 0; iter < number_hot_calls; ++iter)
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{
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CHECK_HIP_ERROR(hipMemset(dy_1, 0, sizeof(T) * M));
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host_nmaxiter[0] = s_nmaxiter;
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double gpu_time_used_iter = get_time_us();
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CHECK_ROCSPARSE_ERROR(rocsparse_spitsv(handle,
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host_nmaxiter,
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host_tol,
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host_history,
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trans_A,
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&halpha,
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A,
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x,
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y1,
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ttype,
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alg,
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rocsparse_spitsv_stage_compute,
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&buffer_size,
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dbuffer));
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gpu_time_used_iter = (get_time_us() - gpu_time_used_iter);
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gpu_time_used += gpu_time_used_iter;
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}
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gpu_time_used /= number_hot_calls;
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double gflop_count = spsv_gflop_count(M, nnz_A, diag);
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double gpu_gflops = get_gpu_gflops(gpu_time_used, gflop_count);
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double gbyte_count = csrsv_gbyte_count<T>(M, nnz_A);
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double gpu_gbyte = get_gpu_gbyte(gpu_time_used, gbyte_count);
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display_timing_info(display_key_t::M,
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M,
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display_key_t::nnz_A,
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nnz_A,
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display_key_t::alpha,
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halpha,
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display_key_t::algorithm,
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rocsparse_spitsvalg2string(alg),
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display_key_t::gflops,
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gpu_gflops,
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display_key_t::bandwidth,
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gpu_gbyte,
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display_key_t::time_ms,
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get_gpu_time_msec(gpu_time_used));
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}
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CHECK_HIP_ERROR(rocsparse_hipFree(dbuffer));
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}
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#define INSTANTIATE(ITYPE, JTYPE, TTYPE) \
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template void testing_spitsv_csr_bad_arg<ITYPE, JTYPE, TTYPE>(const Arguments& arg); \
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template void testing_spitsv_csr<ITYPE, JTYPE, TTYPE>(const Arguments& arg)
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INSTANTIATE(int32_t, int32_t, float);
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INSTANTIATE(int32_t, int32_t, double);
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INSTANTIATE(int32_t, int32_t, rocsparse_float_complex);
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INSTANTIATE(int32_t, int32_t, rocsparse_double_complex);
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INSTANTIATE(int64_t, int32_t, float);
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INSTANTIATE(int64_t, int32_t, double);
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INSTANTIATE(int64_t, int32_t, rocsparse_float_complex);
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INSTANTIATE(int64_t, int32_t, rocsparse_double_complex);
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INSTANTIATE(int64_t, int64_t, float);
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INSTANTIATE(int64_t, int64_t, double);
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INSTANTIATE(int64_t, int64_t, rocsparse_float_complex);
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INSTANTIATE(int64_t, int64_t, rocsparse_double_complex);
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void testing_spitsv_csr_extra(const Arguments& arg) {}
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