derek.holloway
7502bf64a4
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358 lines
15 KiB
C++
358 lines
15 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_SPMV_COO_AOS_HPP
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#define TESTING_SPMV_COO_AOS_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_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 <hipsparse.h>
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#include <string>
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#include <typeinfo>
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using namespace hipsparse_test;
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template <typename I, typename A, typename X, typename Y, typename T>
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void testing_spmv_coo_aos_bad_arg(const Arguments& argus)
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{
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#if(!defined(CUDART_VERSION) || (CUDART_VERSION > 10010 && CUDART_VERSION < 12000) \
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|| (CUDART_VERSION == 10010 && CUDART_10_1_UPDATE_VERSION == 1 && CUDART_VERSION < 12000))
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int64_t m = 100;
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int64_t n = 100;
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int64_t nnz = 100;
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int64_t safe_size = 100;
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T alpha = make_DataType<T>(0.6);
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T beta = make_DataType<T>(0.2);
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hipsparseOperation_t transA = HIPSPARSE_OPERATION_NON_TRANSPOSE;
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hipsparseIndexBase_t idxBase = HIPSPARSE_INDEX_BASE_ZERO;
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hipsparseIndexType_t idxType = HIPSPARSE_INDEX_32I;
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hipDataType aType = getDataType<A>();
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hipDataType xType = getDataType<X>();
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hipDataType yType = getDataType<Y>();
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hipDataType computeType = getDataType<T>();
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#if(!defined(CUDART_VERSION))
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hipsparseSpMVAlg_t alg = HIPSPARSE_MV_ALG_DEFAULT;
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#else
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#if(CUDART_VERSION >= 12000)
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hipsparseSpMVAlg_t alg = HIPSPARSE_SPMV_ALG_DEFAULT;
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#elif(CUDART_VERSION >= 10010 && CUDART_VERSION < 12000)
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hipsparseSpMVAlg_t alg = HIPSPARSE_MV_ALG_DEFAULT;
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#endif
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#endif
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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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auto dind_managed = hipsparse_unique_ptr{device_malloc(sizeof(I) * safe_size), device_free};
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auto dval_managed = hipsparse_unique_ptr{device_malloc(sizeof(A) * safe_size), device_free};
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auto dx_managed = hipsparse_unique_ptr{device_malloc(sizeof(X) * safe_size), device_free};
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auto dy_managed = hipsparse_unique_ptr{device_malloc(sizeof(Y) * safe_size), device_free};
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auto dbuf_managed = hipsparse_unique_ptr{device_malloc(sizeof(char) * safe_size), device_free};
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I* dind = (I*)dind_managed.get();
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A* dval = (A*)dval_managed.get();
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X* dx = (X*)dx_managed.get();
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Y* dy = (Y*)dy_managed.get();
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void* dbuf = (void*)dbuf_managed.get();
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// SpMV structures
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hipsparseSpMatDescr_t matA;
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hipsparseDnVecDescr_t x, y;
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size_t bsize;
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// Create SpMV structures
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verify_hipsparse_status_success(
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hipsparseCreateCooAoS(&matA, m, n, nnz, dind, dval, idxType, idxBase, aType), "success");
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verify_hipsparse_status_success(hipsparseCreateDnVec(&x, n, dx, xType), "success");
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verify_hipsparse_status_success(hipsparseCreateDnVec(&y, m, dy, yType), "success");
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// SpMV buffer
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verify_hipsparse_status_invalid_handle(hipsparseSpMV_bufferSize(
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nullptr, transA, &alpha, matA, x, &beta, y, computeType, alg, &bsize));
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMV_bufferSize(
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handle, transA, nullptr, matA, x, &beta, y, computeType, alg, &bsize),
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"Error: alpha is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMV_bufferSize(
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handle, transA, &alpha, nullptr, x, &beta, y, computeType, alg, &bsize),
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"Error: A is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMV_bufferSize(
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handle, transA, &alpha, matA, nullptr, &beta, y, computeType, alg, &bsize),
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"Error: x is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMV_bufferSize(
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handle, transA, &alpha, matA, x, nullptr, y, computeType, alg, &bsize),
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"Error: beta is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMV_bufferSize(
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handle, transA, &alpha, matA, x, &beta, nullptr, computeType, alg, &bsize),
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"Error: y is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMV_bufferSize(
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handle, transA, &alpha, matA, x, &beta, y, computeType, alg, nullptr),
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"Error: bsize is nullptr");
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// SpMV
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verify_hipsparse_status_invalid_handle(
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hipsparseSpMV(nullptr, transA, &alpha, matA, x, &beta, y, computeType, alg, dbuf));
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMV(handle, transA, nullptr, matA, x, &beta, y, computeType, alg, dbuf),
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"Error: alpha is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMV(handle, transA, &alpha, nullptr, x, &beta, y, computeType, alg, dbuf),
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"Error: A is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMV(handle, transA, &alpha, matA, nullptr, &beta, y, computeType, alg, dbuf),
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"Error: x is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMV(handle, transA, &alpha, matA, x, nullptr, y, computeType, alg, dbuf),
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"Error: beta is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMV(handle, transA, &alpha, matA, x, &beta, nullptr, computeType, alg, dbuf),
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"Error: y is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMV(handle, transA, &alpha, matA, x, &beta, nullptr, computeType, alg, nullptr),
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"Error: dbuf is nullptr");
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// Destruct
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verify_hipsparse_status_success(hipsparseDestroySpMat(matA), "success");
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verify_hipsparse_status_success(hipsparseDestroyDnVec(x), "success");
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verify_hipsparse_status_success(hipsparseDestroyDnVec(y), "success");
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#endif
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}
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template <typename I, typename A, typename X, typename Y, typename T>
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void testing_spmv_coo_aos(Arguments argus)
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{
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#if(!defined(CUDART_VERSION) || (CUDART_VERSION >= 10010 && CUDART_VERSION < 12000))
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I m = argus.M;
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I n = argus.N;
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T h_alpha = argus.get_alpha<T>();
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T h_beta = argus.get_beta<T>();
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hipsparseOperation_t transA = argus.transA;
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hipsparseIndexBase_t idx_base = argus.baseA;
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hipsparseSpMVAlg_t alg = argus.spmv_alg;
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std::string filename = argus.filename;
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// Index and data types
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hipsparseIndexType_t typeI = getIndexType<I>();
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hipDataType aType = getDataType<A>();
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hipDataType xType = getDataType<X>();
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hipDataType yType = getDataType<Y>();
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hipDataType computeType = getDataType<T>();
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// hipSPARSE handle
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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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// Host structures
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std::vector<I> hrow_ptr;
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std::vector<I> hcol_ind;
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std::vector<A> hval;
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// Initial Data on CPU
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srand(12345ULL);
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I nnz;
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CHECK_GENERATE_MATRIX_ERROR(
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generate_csr_matrix(filename, m, n, nnz, hrow_ptr, hcol_ind, hval, idx_base));
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// Redefine sparse matrix values
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hipsparseInit<A>(hval, hval.size(), 1);
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std::vector<I> hind(2 * nnz);
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// Convert to COO (AoS)
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for(I i = 0; i < m; ++i)
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{
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for(I j = hrow_ptr[i] - idx_base; j < hrow_ptr[i + 1] - idx_base; ++j)
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{
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hind[2 * j] = i + idx_base;
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hind[2 * j + 1] = hcol_ind[j];
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}
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}
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std::vector<X> hx(n);
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std::vector<Y> hy_1(m);
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std::vector<Y> hy_2(m);
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std::vector<Y> hy_gold(m);
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hipsparseInit<X>(hx, 1, n);
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hipsparseInit<Y>(hy_1, 1, m);
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// copy vector is easy in STL; hy_gold = hx: save a copy in hy_gold which will be output of CPU
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hy_2 = hy_1;
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hy_gold = hy_1;
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// allocate memory on device
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auto dind_managed = hipsparse_unique_ptr{device_malloc(sizeof(I) * 2 * nnz), device_free};
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auto dval_managed = hipsparse_unique_ptr{device_malloc(sizeof(A) * nnz), device_free};
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auto dx_managed = hipsparse_unique_ptr{device_malloc(sizeof(X) * n), device_free};
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auto dy_1_managed = hipsparse_unique_ptr{device_malloc(sizeof(Y) * m), device_free};
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auto dy_2_managed = hipsparse_unique_ptr{device_malloc(sizeof(Y) * m), device_free};
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auto d_alpha_managed = hipsparse_unique_ptr{device_malloc(sizeof(T)), device_free};
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auto d_beta_managed = hipsparse_unique_ptr{device_malloc(sizeof(T)), device_free};
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I* dind = (I*)dind_managed.get();
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A* dval = (A*)dval_managed.get();
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X* dx = (X*)dx_managed.get();
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Y* dy_1 = (Y*)dy_1_managed.get();
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Y* dy_2 = (Y*)dy_2_managed.get();
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T* d_alpha = (T*)d_alpha_managed.get();
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T* d_beta = (T*)d_beta_managed.get();
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// copy data from CPU to device
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CHECK_HIP_ERROR(hipMemcpy(dind, hind.data(), sizeof(I) * 2 * nnz, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dval, hval.data(), sizeof(A) * nnz, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dx, hx.data(), sizeof(X) * n, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dy_1, hy_1.data(), sizeof(Y) * m, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dy_2, hy_2.data(), sizeof(Y) * m, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(d_alpha, &h_alpha, sizeof(T), hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(d_beta, &h_beta, sizeof(T), hipMemcpyHostToDevice));
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// Create matrices
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hipsparseSpMatDescr_t matA;
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CHECK_HIPSPARSE_ERROR(
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hipsparseCreateCooAoS(&matA, m, n, nnz, dind, dval, typeI, idx_base, aType));
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// Create dense vectors
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hipsparseDnVecDescr_t x, y1, y2;
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CHECK_HIPSPARSE_ERROR(hipsparseCreateDnVec(&x, n, dx, xType));
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CHECK_HIPSPARSE_ERROR(hipsparseCreateDnVec(&y1, m, dy_1, yType));
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CHECK_HIPSPARSE_ERROR(hipsparseCreateDnVec(&y2, m, dy_2, yType));
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// Query SpMV buffer
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size_t bufferSize;
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CHECK_HIPSPARSE_ERROR(hipsparseSpMV_bufferSize(
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handle, transA, &h_alpha, matA, x, &h_beta, y1, computeType, alg, &bufferSize));
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void* buffer;
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CHECK_HIP_ERROR(hipMalloc(&buffer, bufferSize));
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// Preprocess (optional)
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if(argus.call_preprocess)
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{
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CHECK_HIPSPARSE_ERROR(hipsparseSpMV_preprocess(
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handle, transA, &h_alpha, matA, x, &h_beta, y1, computeType, alg, buffer));
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}
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if(argus.unit_check)
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{
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// HIPSPARSE pointer mode host
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CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_HOST));
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CHECK_HIPSPARSE_ERROR(hipsparseSpMV(
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handle, transA, &h_alpha, matA, x, &h_beta, y1, computeType, alg, buffer));
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// HIPSPARSE pointer mode device
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CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_DEVICE));
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CHECK_HIPSPARSE_ERROR(
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hipsparseSpMV(handle, transA, d_alpha, matA, x, d_beta, y2, computeType, alg, buffer));
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// copy output from device to CPU
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CHECK_HIP_ERROR(hipMemcpy(hy_1.data(), dy_1, sizeof(Y) * m, hipMemcpyDeviceToHost));
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CHECK_HIP_ERROR(hipMemcpy(hy_2.data(), dy_2, sizeof(Y) * m, hipMemcpyDeviceToHost));
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// Host SpMV
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host_coomv_aos<I, A, X, Y, T>(
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m, nnz, h_alpha, hind.data(), hval.data(), hx.data(), h_beta, hy_gold.data(), idx_base);
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unit_check_near(1, m, 1, hy_gold.data(), hy_1.data());
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unit_check_near(1, m, 1, hy_gold.data(), hy_2.data());
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}
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if(argus.timing)
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{
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int number_cold_calls = 2;
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int number_hot_calls = argus.iters;
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CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_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_HIPSPARSE_ERROR(hipsparseSpMV(
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handle, transA, &h_alpha, matA, x, &h_beta, y1, computeType, alg, buffer));
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}
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double gpu_time_used = get_time_us();
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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_HIPSPARSE_ERROR(hipsparseSpMV(
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handle, transA, &h_alpha, matA, x, &h_beta, y1, computeType, alg, buffer));
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}
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gpu_time_used = (get_time_us() - gpu_time_used) / number_hot_calls;
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double gflop_count = spmv_gflop_count(m, nnz, h_beta != make_DataType<T>(0.0));
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double gbyte_count
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= coomv_gbyte_count<A, X, Y, I>(m, n, nnz, h_beta != make_DataType<T>(0.0));
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double gpu_gflops = get_gpu_gflops(gpu_time_used, gflop_count);
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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::transA,
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transA,
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display_key_t::alpha,
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h_alpha,
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display_key_t::beta,
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h_beta,
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display_key_t::algorithm,
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hipsparse_spmvalg2string(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(hipFree(buffer));
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CHECK_HIPSPARSE_ERROR(hipsparseDestroySpMat(matA));
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CHECK_HIPSPARSE_ERROR(hipsparseDestroyDnVec(x));
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CHECK_HIPSPARSE_ERROR(hipsparseDestroyDnVec(y1));
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CHECK_HIPSPARSE_ERROR(hipsparseDestroyDnVec(y2));
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#endif
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}
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#endif // TESTING_SPMV_COO_AOS_HPP
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