derek.holloway
7502bf64a4
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408 lines
20 KiB
C++
408 lines
20 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 "rocsparse_enum.hpp"
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#include "testing.hpp"
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template <typename T>
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void testing_check_matrix_csc_bad_arg(const Arguments& arg)
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{
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rocsparse_int m = 100;
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rocsparse_int n = 100;
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rocsparse_int nnz = 100;
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rocsparse_index_base idx_base = rocsparse_index_base_zero;
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rocsparse_matrix_type matrix_type = rocsparse_matrix_type_general;
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rocsparse_fill_mode uplo = rocsparse_fill_mode_lower;
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rocsparse_storage_mode storage = rocsparse_storage_mode_sorted;
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// Create rocsparse handle
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rocsparse_local_handle local_handle;
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rocsparse_handle handle = local_handle;
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const rocsparse_int* csc_col_ptr = (const rocsparse_int*)0x4;
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const rocsparse_int* csc_row_ind = (const rocsparse_int*)0x4;
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const T* csc_val = (const T*)0x4;
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void* temp_buffer = (void*)0x4;
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size_t* buffer_size = (size_t*)0x4;
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rocsparse_data_status* data_status = (rocsparse_data_status*)0x4;
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int nargs_to_exclude = 3;
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const int args_to_exclude[3] = {4, 5, 6};
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#define PARAMS_BUFFER_SIZE \
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handle, m, n, nnz, csc_val, csc_col_ptr, csc_row_ind, idx_base, matrix_type, uplo, storage, \
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buffer_size
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#define PARAMS \
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handle, m, n, nnz, csc_val, csc_col_ptr, csc_row_ind, idx_base, matrix_type, uplo, storage, \
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data_status, temp_buffer
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select_bad_arg_analysis(rocsparse_check_matrix_csc_buffer_size<T>,
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nargs_to_exclude,
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args_to_exclude,
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PARAMS_BUFFER_SIZE);
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select_bad_arg_analysis(
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rocsparse_check_matrix_csc<T>, nargs_to_exclude, args_to_exclude, PARAMS);
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#undef PARAMS_BUFFER_SIZE
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#undef PARAMS
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}
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template <typename T>
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void testing_check_matrix_csc(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 base = arg.baseA;
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rocsparse_matrix_type matrix_type = arg.matrix_type;
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rocsparse_fill_mode uplo = arg.uplo;
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rocsparse_storage_mode storage = arg.storage;
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// Create rocsparse handle
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rocsparse_local_handle handle;
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rocsparse_matrix_factory<T> matrix_factory(arg);
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// Allocate host memory for CSC matrix
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host_vector<rocsparse_int> hcsc_col_ptr;
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host_vector<rocsparse_int> hcsc_row_ind;
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host_vector<T> hcsc_val;
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// Generate (or load from file) CSC matrix
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rocsparse_int nnz;
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matrix_factory.init_csc(hcsc_col_ptr, hcsc_row_ind, hcsc_val, m, n, nnz, base);
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// CSC matrix on device
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device_vector<rocsparse_int> dcsc_col_ptr(hcsc_col_ptr);
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device_vector<rocsparse_int> dcsc_row_ind(hcsc_row_ind);
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device_vector<T> dcsc_val(hcsc_val);
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size_t buffer_size;
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CHECK_ROCSPARSE_ERROR(rocsparse_check_matrix_csc_buffer_size<T>(handle,
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m,
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n,
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nnz,
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dcsc_val,
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dcsc_col_ptr,
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dcsc_row_ind,
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base,
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matrix_type,
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uplo,
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storage,
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&buffer_size));
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void* dbuffer;
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CHECK_HIP_ERROR(rocsparse_hipMalloc(&dbuffer, buffer_size));
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rocsparse_data_status data_status;
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CHECK_ROCSPARSE_ERROR(rocsparse_check_matrix_csc<T>(handle,
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m,
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n,
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nnz,
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dcsc_val,
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dcsc_col_ptr,
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dcsc_row_ind,
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base,
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matrix_type,
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uplo,
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storage,
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&data_status,
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dbuffer));
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CHECK_ROCSPARSE_DATA_ERROR(data_status);
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// Check passing shifting ptr array by large number
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host_vector<rocsparse_int> hcsc_col_ptr_shifted(hcsc_col_ptr);
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for(size_t i = 0; i < hcsc_col_ptr_shifted.size(); i++)
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{
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hcsc_col_ptr_shifted[i] += 10000;
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}
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device_vector<rocsparse_int> dcsc_col_ptr_shifted(hcsc_col_ptr_shifted);
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CHECK_ROCSPARSE_ERROR(rocsparse_check_matrix_csc<T>(handle,
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m,
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n,
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nnz,
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dcsc_val,
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dcsc_col_ptr_shifted,
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dcsc_row_ind,
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base,
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matrix_type,
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uplo,
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storage,
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&data_status,
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dbuffer));
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CHECK_ROCSPARSE_DATA_ERROR(data_status);
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if(nnz > 1 && n > 1)
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{
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rocsparse_int temp;
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T temp_val;
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rocsparse_int rng;
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rocsparse_seedrand();
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rng = random_generator_exact<rocsparse_int>(1, n - 1);
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temp = hcsc_col_ptr[rng];
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// Check passing matrix with invalid column ptr offset set number less than zero
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hcsc_col_ptr[rng] = -1;
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dcsc_col_ptr.transfer_from(hcsc_col_ptr);
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CHECK_ROCSPARSE_ERROR(rocsparse_check_matrix_csc<T>(handle,
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m,
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n,
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nnz,
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dcsc_val,
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dcsc_col_ptr,
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dcsc_row_ind,
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base,
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matrix_type,
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uplo,
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storage,
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&data_status,
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dbuffer));
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EXPECT_ROCSPARSE_DATA_STATUS(data_status, rocsparse_data_status_invalid_offset_ptr);
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// Restore offset pointer
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hcsc_col_ptr[rng] = temp;
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dcsc_col_ptr.transfer_from(hcsc_col_ptr);
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rng = random_generator_exact<rocsparse_int>(0, nnz - 1);
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temp = hcsc_row_ind[rng];
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// Check passing matrix with row index set to number less than zero
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hcsc_row_ind[rng] = -1;
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dcsc_row_ind.transfer_from(hcsc_row_ind);
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CHECK_ROCSPARSE_ERROR(rocsparse_check_matrix_csc<T>(handle,
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m,
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n,
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nnz,
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dcsc_val,
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dcsc_col_ptr,
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dcsc_row_ind,
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base,
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matrix_type,
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uplo,
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storage,
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&data_status,
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dbuffer));
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EXPECT_ROCSPARSE_DATA_STATUS(data_status, rocsparse_data_status_invalid_index);
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// Check passing matrix with row index set to number greater than m - 1 + base
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hcsc_row_ind[rng] = (m - 1 + base) + 10;
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dcsc_row_ind.transfer_from(hcsc_row_ind);
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CHECK_ROCSPARSE_ERROR(rocsparse_check_matrix_csc<T>(handle,
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m,
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n,
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nnz,
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dcsc_val,
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dcsc_col_ptr,
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dcsc_row_ind,
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base,
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matrix_type,
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uplo,
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storage,
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&data_status,
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dbuffer));
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EXPECT_ROCSPARSE_DATA_STATUS(data_status, rocsparse_data_status_invalid_index);
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// Restore indices
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hcsc_row_ind[rng] = temp;
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dcsc_row_ind.transfer_from(hcsc_row_ind);
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// Check passing matrix with duplicate rows
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{
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// Find first column with non-zeros in it
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rocsparse_int col = -1;
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for(size_t i = 1; i < n; i++)
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{
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if(hcsc_col_ptr[i + 1] - hcsc_col_ptr[i] >= 2)
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{
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col = i;
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break;
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}
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}
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if(col != -1)
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{
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rocsparse_int index = hcsc_col_ptr[col] - base + 1;
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temp = hcsc_row_ind[index];
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hcsc_row_ind[index] = hcsc_row_ind[hcsc_col_ptr[col] - base];
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dcsc_row_ind.transfer_from(hcsc_row_ind);
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CHECK_ROCSPARSE_ERROR(rocsparse_check_matrix_csc<T>(handle,
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m,
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n,
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nnz,
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dcsc_val,
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dcsc_col_ptr,
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dcsc_row_ind,
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base,
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matrix_type,
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uplo,
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storage,
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&data_status,
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dbuffer));
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EXPECT_ROCSPARSE_DATA_STATUS(data_status, rocsparse_data_status_duplicate_entry);
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// Restore indices
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hcsc_row_ind[index] = temp;
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dcsc_row_ind.transfer_from(hcsc_row_ind);
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}
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}
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// Check passing matrix with invalid fill
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if(matrix_type != rocsparse_matrix_type_general)
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{
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// Find first column with non-zeros in it
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rocsparse_int col = -1;
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for(size_t i = 1; i < n; i++)
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{
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if(hcsc_col_ptr[i + 1] - hcsc_col_ptr[i] > 0)
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{
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col = i;
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break;
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}
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}
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if(col != -1)
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{
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rocsparse_int index = (uplo == rocsparse_fill_mode_lower)
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? hcsc_col_ptr[col + 1] - base - 1
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: hcsc_col_ptr[col] - base;
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temp = hcsc_row_ind[index];
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hcsc_row_ind[index] = (uplo == rocsparse_fill_mode_lower) ? (m - 1 + base) : base;
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dcsc_row_ind.transfer_from(hcsc_row_ind);
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CHECK_ROCSPARSE_ERROR(rocsparse_check_matrix_csc<T>(handle,
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m,
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n,
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nnz,
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dcsc_val,
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dcsc_col_ptr,
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dcsc_row_ind,
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base,
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matrix_type,
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uplo,
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storage,
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&data_status,
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dbuffer));
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EXPECT_ROCSPARSE_DATA_STATUS(data_status, rocsparse_data_status_invalid_fill);
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// Restore indices
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hcsc_row_ind[index] = temp;
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dcsc_row_ind.transfer_from(hcsc_row_ind);
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}
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}
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rng = random_generator_exact<rocsparse_int>(0, nnz - 1);
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temp_val = hcsc_val[rng];
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// Check passing matrix with inf value
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hcsc_val[rng] = rocsparse_inf<T>();
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dcsc_val.transfer_from(hcsc_val);
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CHECK_ROCSPARSE_ERROR(rocsparse_check_matrix_csc<T>(handle,
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m,
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n,
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nnz,
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dcsc_val,
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dcsc_col_ptr,
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dcsc_row_ind,
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base,
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matrix_type,
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uplo,
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storage,
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&data_status,
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dbuffer));
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EXPECT_ROCSPARSE_DATA_STATUS(data_status, rocsparse_data_status_inf);
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// Check passing matrix with nan value
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hcsc_val[rng] = rocsparse_nan<T>();
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dcsc_val.transfer_from(hcsc_val);
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CHECK_ROCSPARSE_ERROR(rocsparse_check_matrix_csc<T>(handle,
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m,
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n,
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nnz,
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dcsc_val,
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dcsc_col_ptr,
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dcsc_row_ind,
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base,
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matrix_type,
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uplo,
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storage,
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&data_status,
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dbuffer));
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EXPECT_ROCSPARSE_DATA_STATUS(data_status, rocsparse_data_status_nan);
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// Restore indices
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hcsc_val[rng] = temp_val;
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dcsc_val.transfer_from(hcsc_val);
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}
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if(arg.timing)
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{
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const double gpu_time_used = rocsparse_clients::run_benchmark(arg,
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rocsparse_check_matrix_csc<T>,
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handle,
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m,
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n,
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nnz,
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dcsc_val,
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dcsc_col_ptr,
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dcsc_row_ind,
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base,
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matrix_type,
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uplo,
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storage,
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&data_status,
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dbuffer);
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double gbyte_count = check_matrix_csc_gbyte_count<T>(n, nnz);
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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::N,
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n,
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display_key_t::nnz,
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nnz,
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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(TYPE) \
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template void testing_check_matrix_csc_bad_arg<TYPE>(const Arguments& arg); \
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template void testing_check_matrix_csc<TYPE>(const Arguments& arg)
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INSTANTIATE(float);
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INSTANTIATE(double);
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INSTANTIATE(rocsparse_float_complex);
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INSTANTIATE(rocsparse_double_complex);
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void testing_check_matrix_csc_extra(const Arguments& arg) {}
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