derek.holloway
7502bf64a4
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529 lines
30 KiB
C++
529 lines
30 KiB
C++
/* ************************************************************************
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* Copyright (C) 2020-2026 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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#pragma once
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#ifndef TESTING_CSR2CSR_COMPRESS_HPP
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#define TESTING_CSR2CSR_COMPRESS_HPP
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#include "display.hpp"
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#include "flops.hpp"
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#include "gbyte.hpp"
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#include "hipsparse.hpp"
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#include "hipsparse_arguments.hpp"
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#include "hipsparse_test_unique_ptr.hpp"
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#include "unit.hpp"
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#include "utility.hpp"
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#include <algorithm>
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#include <hipsparse.h>
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#include <iostream>
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#include <string>
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using namespace hipsparse;
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using namespace hipsparse_test;
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template <typename T>
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void testing_csr2csr_compress_bad_arg(const Arguments& argus)
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{
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#if(!defined(CUDART_VERSION))
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int m = 1;
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int n = 1;
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int nnz_A = 1;
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int safe_size = 1;
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T tol = make_DataType<T>(0);
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hipsparseIndexBase_t csr_idx_base = HIPSPARSE_INDEX_BASE_ZERO;
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std::unique_ptr<handle_struct> unique_ptr_handle(new handle_struct);
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hipsparseHandle_t handle = unique_ptr_handle->handle;
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std::unique_ptr<descr_struct> unique_ptr_csr_descr(new descr_struct);
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hipsparseMatDescr_t csr_descr = unique_ptr_csr_descr->descr;
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hipsparseSetMatIndexBase(csr_descr, csr_idx_base);
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auto csr_row_ptr_A_managed
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= hipsparse_unique_ptr{device_malloc(sizeof(int) * (safe_size + 1)), device_free};
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auto csr_col_ind_A_managed
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= hipsparse_unique_ptr{device_malloc(sizeof(int) * safe_size), device_free};
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auto csr_val_A_managed
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= hipsparse_unique_ptr{device_malloc(sizeof(T) * safe_size), device_free};
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auto csr_row_ptr_C_managed
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= hipsparse_unique_ptr{device_malloc(sizeof(int) * (safe_size + 1)), device_free};
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auto csr_col_ind_C_managed
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= hipsparse_unique_ptr{device_malloc(sizeof(int) * safe_size), device_free};
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auto csr_val_C_managed
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= hipsparse_unique_ptr{device_malloc(sizeof(T) * safe_size), device_free};
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auto nnz_per_row_managed
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= hipsparse_unique_ptr{device_malloc(sizeof(int) * safe_size), device_free};
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auto nnz_C_managed = hipsparse_unique_ptr{device_malloc(sizeof(int)), device_free};
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int* csr_row_ptr_A = (int*)csr_row_ptr_A_managed.get();
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int* csr_col_ind_A = (int*)csr_col_ind_A_managed.get();
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T* csr_val_A = (T*)csr_val_A_managed.get();
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int* csr_row_ptr_C = (int*)csr_row_ptr_C_managed.get();
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int* csr_col_ind_C = (int*)csr_col_ind_C_managed.get();
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T* csr_val_C = (T*)csr_val_C_managed.get();
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int* nnz_per_row = (int*)nnz_per_row_managed.get();
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int* nnz_C = (int*)nnz_C_managed.get();
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int local_ptr[2] = {0, 1};
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CHECK_HIP_ERROR(
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hipMemcpy(csr_row_ptr_A, local_ptr, sizeof(int) * (1 + 1), hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(
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hipMemcpy(csr_row_ptr_C, local_ptr, sizeof(int) * (1 + 1), hipMemcpyHostToDevice));
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int local_nnz[1] = {1};
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CHECK_HIP_ERROR(hipMemcpy(nnz_per_row, local_nnz, sizeof(int), hipMemcpyHostToDevice));
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verify_hipsparse_status_invalid_handle(hipsparseXnnz_compress(
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nullptr, m, csr_descr, csr_val_A, csr_row_ptr_A, nnz_per_row, nnz_C, tol));
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verify_hipsparse_status_invalid_pointer(
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hipsparseXnnz_compress(
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handle, m, nullptr, csr_val_A, csr_row_ptr_A, nnz_per_row, nnz_C, tol),
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"Error: Matrix descriptor is invalid");
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verify_hipsparse_status_invalid_pointer(
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hipsparseXnnz_compress(handle, m, csr_descr, csr_val_A, nullptr, nnz_per_row, nnz_C, tol),
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"Error: CSR row pointer array is invalid");
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verify_hipsparse_status_invalid_pointer(
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hipsparseXnnz_compress(handle, m, csr_descr, csr_val_A, csr_row_ptr_A, nullptr, nnz_C, tol),
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"Error: Number of elements per row array is invalid");
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verify_hipsparse_status_invalid_pointer(
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hipsparseXnnz_compress(
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handle, m, csr_descr, csr_val_A, csr_row_ptr_A, nnz_per_row, nullptr, tol),
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"Error: Total number of elements pointer is invalid");
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verify_hipsparse_status_invalid_size(
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hipsparseXnnz_compress(
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handle, -1, csr_descr, csr_val_A, csr_row_ptr_A, nnz_per_row, nnz_C, tol),
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"Error: Matrix size is invalid");
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verify_hipsparse_status_invalid_size(hipsparseXnnz_compress(handle,
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m,
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csr_descr,
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csr_val_A,
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csr_row_ptr_A,
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nnz_per_row,
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nnz_C,
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make_DataType<T>(-1)),
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"Error: Tolerance is invalid");
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verify_hipsparse_status_invalid_handle(hipsparseXcsr2csr_compress(nullptr,
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m,
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n,
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csr_descr,
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csr_val_A,
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csr_col_ind_A,
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csr_row_ptr_A,
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nnz_A,
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nnz_per_row,
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csr_val_C,
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csr_col_ind_C,
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csr_row_ptr_C,
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tol));
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verify_hipsparse_status_invalid_pointer(hipsparseXcsr2csr_compress(handle,
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m,
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n,
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nullptr,
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csr_val_A,
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csr_col_ind_A,
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csr_row_ptr_A,
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nnz_A,
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nnz_per_row,
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csr_val_C,
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csr_col_ind_C,
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csr_row_ptr_C,
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tol),
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"Error: Matrix descriptor is invalid");
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verify_hipsparse_status_invalid_pointer(hipsparseXcsr2csr_compress(handle,
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m,
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n,
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csr_descr,
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(const T*)nullptr,
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csr_col_ind_A,
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csr_row_ptr_A,
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nnz_A,
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nnz_per_row,
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csr_val_C,
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csr_col_ind_C,
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csr_row_ptr_C,
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tol),
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"Error: CSR matrix values array is invalid");
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verify_hipsparse_status_invalid_pointer(hipsparseXcsr2csr_compress(handle,
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m,
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n,
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csr_descr,
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csr_val_A,
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nullptr,
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csr_row_ptr_A,
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nnz_A,
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nnz_per_row,
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csr_val_C,
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csr_col_ind_C,
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csr_row_ptr_C,
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tol),
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"Error: CSR matrix column indices array is invalid");
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verify_hipsparse_status_invalid_pointer(hipsparseXcsr2csr_compress(handle,
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m,
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n,
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csr_descr,
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csr_val_A,
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csr_col_ind_A,
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nullptr,
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nnz_A,
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nnz_per_row,
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csr_val_C,
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csr_col_ind_C,
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csr_row_ptr_C,
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tol),
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"Error: CSR matrix row pointer array is invalid");
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verify_hipsparse_status_invalid_pointer(hipsparseXcsr2csr_compress(handle,
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m,
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n,
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csr_descr,
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csr_val_A,
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csr_col_ind_A,
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csr_row_ptr_A,
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nnz_A,
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nullptr,
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csr_val_C,
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csr_col_ind_C,
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csr_row_ptr_C,
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tol),
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"Error: Number of elements per row array is invalid");
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verify_hipsparse_status_invalid_pointer(hipsparseXcsr2csr_compress(handle,
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m,
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n,
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csr_descr,
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csr_val_A,
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csr_col_ind_A,
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csr_row_ptr_A,
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nnz_A,
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nnz_per_row,
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(T*)nullptr,
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csr_col_ind_C,
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csr_row_ptr_C,
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tol),
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"Error: CSR matrix values array is invalid");
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verify_hipsparse_status_invalid_pointer(hipsparseXcsr2csr_compress(handle,
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m,
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n,
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csr_descr,
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csr_val_A,
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csr_col_ind_A,
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csr_row_ptr_A,
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nnz_A,
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nnz_per_row,
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csr_val_C,
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nullptr,
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csr_row_ptr_C,
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tol),
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"Error: CSR matrix column indices array is invalid");
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verify_hipsparse_status_invalid_pointer(hipsparseXcsr2csr_compress(handle,
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m,
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n,
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csr_descr,
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csr_val_A,
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csr_col_ind_A,
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csr_row_ptr_A,
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nnz_A,
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nnz_per_row,
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csr_val_C,
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csr_col_ind_C,
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nullptr,
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tol),
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"Error: CSR matrix row pointer array is invalid");
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verify_hipsparse_status_invalid_size(hipsparseXcsr2csr_compress(handle,
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-1,
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n,
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csr_descr,
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csr_val_A,
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csr_col_ind_A,
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csr_row_ptr_A,
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nnz_A,
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nnz_per_row,
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csr_val_C,
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csr_col_ind_C,
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csr_row_ptr_C,
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tol),
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"Error: Matrix size is invalid");
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verify_hipsparse_status_invalid_size(hipsparseXcsr2csr_compress(handle,
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m,
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-1,
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csr_descr,
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csr_val_A,
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csr_col_ind_A,
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csr_row_ptr_A,
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nnz_A,
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nnz_per_row,
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csr_val_C,
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csr_col_ind_C,
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csr_row_ptr_C,
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tol),
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"Error: Matrix size is invalid");
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verify_hipsparse_status_invalid_size(hipsparseXcsr2csr_compress(handle,
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m,
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n,
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csr_descr,
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csr_val_A,
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csr_col_ind_A,
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csr_row_ptr_A,
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-1,
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nnz_per_row,
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csr_val_C,
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csr_col_ind_C,
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csr_row_ptr_C,
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tol),
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"Error: Matrix size is invalid");
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verify_hipsparse_status_invalid_value(hipsparseXcsr2csr_compress(handle,
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m,
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n,
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csr_descr,
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csr_val_A,
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csr_col_ind_A,
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csr_row_ptr_A,
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nnz_A,
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nnz_per_row,
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csr_val_C,
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csr_col_ind_C,
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csr_row_ptr_C,
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static_cast<T>(-1)),
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"Error: Tolerance is invalid");
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#endif
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}
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template <typename T>
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void testing_csr2csr_compress(Arguments argus)
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{
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int m = argus.M;
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int n = argus.N;
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T tol = make_DataType<T>(argus.alpha, argus.alphai);
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hipsparseIndexBase_t idx_base = argus.baseA;
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std::string filename = argus.filename;
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std::unique_ptr<handle_struct> unique_ptr_handle(new handle_struct);
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hipsparseHandle_t handle = unique_ptr_handle->handle;
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std::unique_ptr<descr_struct> unique_ptr_csr_descr(new descr_struct);
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hipsparseMatDescr_t csr_descr = unique_ptr_csr_descr->descr;
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hipsparseSetMatIndexBase(csr_descr, idx_base);
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hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_DEVICE);
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srand(12345ULL);
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// Host structures
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std::vector<int> hcsr_row_ptr_A;
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std::vector<int> hcsr_col_ind_A;
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std::vector<T> hcsr_val_A;
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// Read or construct CSR matrix
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int hnnz_A = 0;
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CHECK_GENERATE_MATRIX_ERROR(generate_csr_matrix(
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filename, m, n, hnnz_A, hcsr_row_ptr_A, hcsr_col_ind_A, hcsr_val_A, idx_base));
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// Allocate memory on the device
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auto dcsr_row_ptr_A_managed
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= hipsparse_unique_ptr{device_malloc(sizeof(int) * (m + 1)), device_free};
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auto dcsr_col_ind_A_managed
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= hipsparse_unique_ptr{device_malloc(sizeof(int) * hnnz_A), device_free};
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auto dcsr_val_A_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * hnnz_A), device_free};
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auto dcsr_row_ptr_C_managed
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= hipsparse_unique_ptr{device_malloc(sizeof(int) * (m + 1)), device_free};
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auto dnnz_per_row_managed = hipsparse_unique_ptr{device_malloc(sizeof(int) * m), device_free};
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int* dcsr_row_ptr_A = (int*)dcsr_row_ptr_A_managed.get();
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int* dcsr_col_ind_A = (int*)dcsr_col_ind_A_managed.get();
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T* dcsr_val_A = (T*)dcsr_val_A_managed.get();
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int* dcsr_row_ptr_C = (int*)dcsr_row_ptr_C_managed.get();
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int* dnnz_per_row = (int*)dnnz_per_row_managed.get();
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// Copy data from host to device
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CHECK_HIP_ERROR(hipMemcpy(
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dcsr_row_ptr_A, hcsr_row_ptr_A.data(), sizeof(int) * (m + 1), hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(
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dcsr_col_ind_A, hcsr_col_ind_A.data(), sizeof(int) * hnnz_A, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(
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hipMemcpy(dcsr_val_A, hcsr_val_A.data(), sizeof(T) * hnnz_A, hipMemcpyHostToDevice));
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if(argus.unit_check)
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{
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// Use both host and device pointers for nnz_C and confirm they give the same answer
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CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_HOST));
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int hnnz_C;
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CHECK_HIPSPARSE_ERROR(hipsparseXnnz_compress(
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handle, m, csr_descr, dcsr_val_A, dcsr_row_ptr_A, dnnz_per_row, &hnnz_C, tol));
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CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_DEVICE));
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auto dnnz_C_managed = hipsparse_unique_ptr{device_malloc(sizeof(int)), device_free};
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int* dnnz_C = (int*)dnnz_C_managed.get();
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CHECK_HIPSPARSE_ERROR(hipsparseXnnz_compress(
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handle, m, csr_descr, dcsr_val_A, dcsr_row_ptr_A, dnnz_per_row, dnnz_C, tol));
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int hnnz_C_copied_from_device;
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CHECK_HIP_ERROR(
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hipMemcpy(&hnnz_C_copied_from_device, dnnz_C, sizeof(int), hipMemcpyDeviceToHost));
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unit_check_general(1, 1, 1, &hnnz_C_copied_from_device, &hnnz_C);
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|
|
|
if(hnnz_C == 0)
|
|
{
|
|
return;
|
|
}
|
|
|
|
// Allocate device memory for compressed CSR columns indices and values
|
|
auto dcsr_col_ind_C_managed
|
|
= hipsparse_unique_ptr{device_malloc(sizeof(int) * hnnz_C), device_free};
|
|
auto dcsr_val_C_managed
|
|
= hipsparse_unique_ptr{device_malloc(sizeof(T) * hnnz_C), device_free};
|
|
|
|
int* dcsr_col_ind_C = (int*)dcsr_col_ind_C_managed.get();
|
|
T* dcsr_val_C = (T*)dcsr_val_C_managed.get();
|
|
|
|
CHECK_HIPSPARSE_ERROR(hipsparseXcsr2csr_compress(handle,
|
|
m,
|
|
n,
|
|
csr_descr,
|
|
dcsr_val_A,
|
|
dcsr_col_ind_A,
|
|
dcsr_row_ptr_A,
|
|
hnnz_A,
|
|
dnnz_per_row,
|
|
dcsr_val_C,
|
|
dcsr_col_ind_C,
|
|
dcsr_row_ptr_C,
|
|
tol));
|
|
|
|
// Copy output from device to host
|
|
std::vector<int> hcsr_row_ptr_C(m + 1);
|
|
std::vector<int> hcsr_col_ind_C(hnnz_C);
|
|
std::vector<T> hcsr_val_C(hnnz_C);
|
|
|
|
CHECK_HIP_ERROR(hipMemcpy(
|
|
hcsr_row_ptr_C.data(), dcsr_row_ptr_C, sizeof(int) * (m + 1), hipMemcpyDeviceToHost));
|
|
CHECK_HIP_ERROR(hipMemcpy(
|
|
hcsr_col_ind_C.data(), dcsr_col_ind_C, sizeof(int) * hnnz_C, hipMemcpyDeviceToHost));
|
|
CHECK_HIP_ERROR(
|
|
hipMemcpy(hcsr_val_C.data(), dcsr_val_C, sizeof(T) * hnnz_C, hipMemcpyDeviceToHost));
|
|
|
|
// Host csr2csc conversion
|
|
std::vector<int> hcsr_row_ptr_C_gold;
|
|
std::vector<int> hcsr_col_ind_C_gold;
|
|
std::vector<T> hcsr_val_gold;
|
|
|
|
// Call host conversion here
|
|
host_csr_to_csr_compress<T>(m,
|
|
n,
|
|
hcsr_row_ptr_A,
|
|
hcsr_col_ind_A,
|
|
hcsr_val_A,
|
|
hcsr_row_ptr_C_gold,
|
|
hcsr_col_ind_C_gold,
|
|
hcsr_val_gold,
|
|
idx_base,
|
|
tol);
|
|
|
|
// Unit check
|
|
unit_check_general(1, m + 1, 1, hcsr_row_ptr_C_gold.data(), hcsr_row_ptr_C.data());
|
|
unit_check_general(1, hnnz_C, 1, hcsr_col_ind_C_gold.data(), hcsr_col_ind_C.data());
|
|
unit_check_general(1, hnnz_C, 1, hcsr_val_gold.data(), hcsr_val_C.data());
|
|
}
|
|
|
|
if(argus.timing)
|
|
{
|
|
int number_cold_calls = 2;
|
|
int number_hot_calls = argus.iters;
|
|
|
|
CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_HOST));
|
|
|
|
int hnnz_C;
|
|
CHECK_HIPSPARSE_ERROR(hipsparseXnnz_compress(
|
|
handle, m, csr_descr, dcsr_val_A, dcsr_row_ptr_A, dnnz_per_row, &hnnz_C, tol));
|
|
|
|
// Allocate device memory for compressed CSR columns indices and values
|
|
auto dcsr_col_ind_C_managed
|
|
= hipsparse_unique_ptr{device_malloc(sizeof(int) * hnnz_C), device_free};
|
|
auto dcsr_val_C_managed
|
|
= hipsparse_unique_ptr{device_malloc(sizeof(T) * hnnz_C), device_free};
|
|
|
|
int* dcsr_col_ind_C = (int*)dcsr_col_ind_C_managed.get();
|
|
T* dcsr_val_C = (T*)dcsr_val_C_managed.get();
|
|
|
|
// Warm up
|
|
for(int iter = 0; iter < number_cold_calls; ++iter)
|
|
{
|
|
CHECK_HIPSPARSE_ERROR(hipsparseXcsr2csr_compress(handle,
|
|
m,
|
|
n,
|
|
csr_descr,
|
|
dcsr_val_A,
|
|
dcsr_col_ind_A,
|
|
dcsr_row_ptr_A,
|
|
hnnz_A,
|
|
dnnz_per_row,
|
|
dcsr_val_C,
|
|
dcsr_col_ind_C,
|
|
dcsr_row_ptr_C,
|
|
tol));
|
|
}
|
|
|
|
double gpu_time_used = get_time_us();
|
|
|
|
// Performance run
|
|
for(int iter = 0; iter < number_hot_calls; ++iter)
|
|
{
|
|
CHECK_HIPSPARSE_ERROR(hipsparseXcsr2csr_compress(handle,
|
|
m,
|
|
n,
|
|
csr_descr,
|
|
dcsr_val_A,
|
|
dcsr_col_ind_A,
|
|
dcsr_row_ptr_A,
|
|
hnnz_A,
|
|
dnnz_per_row,
|
|
dcsr_val_C,
|
|
dcsr_col_ind_C,
|
|
dcsr_row_ptr_C,
|
|
tol));
|
|
}
|
|
|
|
gpu_time_used = (get_time_us() - gpu_time_used) / number_hot_calls;
|
|
|
|
double gbyte_count = csr2csr_compress_gbyte_count<T>(m, hnnz_A, hnnz_C);
|
|
double gpu_gbyte = get_gpu_gbyte(gpu_time_used, gbyte_count);
|
|
|
|
display_timing_info(display_key_t::M,
|
|
m,
|
|
display_key_t::N,
|
|
n,
|
|
display_key_t::nnzA,
|
|
hnnz_A,
|
|
display_key_t::nnzC,
|
|
hnnz_C,
|
|
display_key_t::bandwidth,
|
|
gpu_gbyte,
|
|
display_key_t::time_ms,
|
|
get_gpu_time_msec(gpu_time_used));
|
|
}
|
|
}
|
|
|
|
#endif // TESTING_CSR2CSR_COMPRESS_HPP
|