derek.holloway
7502bf64a4
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440 lines
19 KiB
C++
440 lines
19 KiB
C++
/* ************************************************************************
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* Copyright (C) 2025-2026 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_SELL_HPP
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#define TESTING_SPMV_SELL_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 J, typename A, typename X, typename Y, typename T>
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void testing_spmv_sell_bad_arg(const Arguments& argus)
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{
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#if(!defined(CUDART_VERSION) || CUDART_VERSION > 12011)
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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 sellValuesSize = 100;
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int64_t sliceSize = 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 sellSliceOffsetsIdxType = HIPSPARSE_INDEX_32I;
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hipsparseIndexType_t sellColInIdxType = 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 dptr_managed = hipsparse_unique_ptr{device_malloc(sizeof(I) * safe_size), device_free};
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auto dcol_managed = hipsparse_unique_ptr{device_malloc(sizeof(J) * 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* dptr = (I*)dptr_managed.get();
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J* dcol = (J*)dcol_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(hipsparseCreateSlicedEll(&matA,
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m,
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n,
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nnz,
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sellValuesSize,
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sliceSize,
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dptr,
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dcol,
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dval,
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sellSliceOffsetsIdxType,
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sellColInIdxType,
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idxBase,
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aType),
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"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 preprocess (optional)
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verify_hipsparse_status_invalid_handle(hipsparseSpMV_preprocess(
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nullptr, transA, &alpha, matA, x, &beta, y, computeType, alg, dbuf));
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMV_preprocess(
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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_preprocess(
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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_preprocess(
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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_preprocess(
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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_preprocess(
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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_preprocess(
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handle, transA, &alpha, matA, x, &beta, nullptr, computeType, alg, nullptr),
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"Error: dbuf 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 J, typename A, typename X, typename Y, typename T>
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void testing_spmv_sell(Arguments argus)
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{
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#if(!defined(CUDART_VERSION) || CUDART_VERSION > 12011)
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J m = argus.M;
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J n = argus.N;
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J slice_size = argus.slice_size;
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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 = static_cast<hipsparseSpMVAlg_t>(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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hipsparseIndexType_t typeJ = getIndexType<J>();
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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> hcsr_row_ptr;
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std::vector<J> hcsr_col_ind;
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std::vector<A> hcsr_val;
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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, hcsr_row_ptr, hcsr_col_ind, hcsr_val, idx_base));
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// Redefine sparse matrix values
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hipsparseInit<A>(hcsr_val, hcsr_val.size(), 1);
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I nslices = (m - 1) / slice_size + 1;
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std::vector<I> hsell_slice_offsets;
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std::vector<J> hsell_col_ind;
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std::vector<A> hsell_val;
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I sell_colval_size;
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host_csr_to_sell(m,
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slice_size,
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hcsr_row_ptr,
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hcsr_col_ind,
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hcsr_val,
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hsell_slice_offsets,
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hsell_col_ind,
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hsell_val,
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sell_colval_size,
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idx_base,
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idx_base);
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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 dptr_managed = hipsparse_unique_ptr{device_malloc(sizeof(I) * (nslices + 1)), device_free};
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auto dcol_managed
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= hipsparse_unique_ptr{device_malloc(sizeof(J) * sell_colval_size), device_free};
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auto dval_managed
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= hipsparse_unique_ptr{device_malloc(sizeof(A) * sell_colval_size), 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* dptr = (I*)dptr_managed.get();
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J* dcol = (J*)dcol_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(
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dptr, hsell_slice_offsets.data(), sizeof(I) * (nslices + 1), hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(
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hipMemcpy(dcol, hsell_col_ind.data(), sizeof(J) * sell_colval_size, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(
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hipMemcpy(dval, hsell_val.data(), sizeof(A) * sell_colval_size, 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(hipsparseCreateSlicedEll(&matA,
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m,
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n,
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nnz,
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sell_colval_size,
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slice_size,
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dptr,
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dcol,
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dval,
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typeI,
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typeJ,
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idx_base,
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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_sellmv<T, I, J, A, X, Y>(transA,
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m,
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n,
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nnz,
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slice_size,
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sell_colval_size,
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h_alpha,
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hsell_slice_offsets.data(),
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hsell_col_ind.data(),
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hsell_val.data(),
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hx.data(),
|
|
h_beta,
|
|
hy_gold.data(),
|
|
idx_base);
|
|
|
|
unit_check_near(1, m, 1, hy_gold.data(), hy_1.data());
|
|
unit_check_near(1, m, 1, hy_gold.data(), hy_2.data());
|
|
}
|
|
|
|
if(argus.timing)
|
|
{
|
|
int number_cold_calls = 2;
|
|
int number_hot_calls = argus.iters;
|
|
|
|
CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_HOST));
|
|
|
|
// Warm up
|
|
for(int iter = 0; iter < number_cold_calls; ++iter)
|
|
{
|
|
CHECK_HIPSPARSE_ERROR(hipsparseSpMV(
|
|
handle, transA, &h_alpha, matA, x, &h_beta, y1, computeType, alg, buffer));
|
|
}
|
|
|
|
double gpu_time_used = get_time_us();
|
|
|
|
// Performance run
|
|
for(int iter = 0; iter < number_hot_calls; ++iter)
|
|
{
|
|
CHECK_HIPSPARSE_ERROR(hipsparseSpMV(
|
|
handle, transA, &h_alpha, matA, x, &h_beta, y1, computeType, alg, buffer));
|
|
}
|
|
|
|
gpu_time_used = (get_time_us() - gpu_time_used) / number_hot_calls;
|
|
|
|
double gflop_count = spmv_gflop_count(m, nnz, h_beta != make_DataType<T>(0.0));
|
|
double gbyte_count = sellmv_gbyte_count<A, X, Y, I, J>(
|
|
m, n, nnz, slice_size, sell_colval_size, h_beta != make_DataType<T>(0.0));
|
|
|
|
double gpu_gflops = get_gpu_gflops(gpu_time_used, gflop_count);
|
|
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::nnz,
|
|
nnz,
|
|
display_key_t::transA,
|
|
transA,
|
|
display_key_t::alpha,
|
|
h_alpha,
|
|
display_key_t::beta,
|
|
h_beta,
|
|
display_key_t::algorithm,
|
|
hipsparse_spmvalg2string(alg),
|
|
display_key_t::gflops,
|
|
gpu_gflops,
|
|
display_key_t::bandwidth,
|
|
gpu_gbyte,
|
|
display_key_t::time_ms,
|
|
get_gpu_time_msec(gpu_time_used));
|
|
}
|
|
|
|
CHECK_HIP_ERROR(hipFree(buffer));
|
|
CHECK_HIPSPARSE_ERROR(hipsparseDestroySpMat(matA));
|
|
CHECK_HIPSPARSE_ERROR(hipsparseDestroyDnVec(x));
|
|
CHECK_HIPSPARSE_ERROR(hipsparseDestroyDnVec(y1));
|
|
CHECK_HIPSPARSE_ERROR(hipsparseDestroyDnVec(y2));
|
|
#endif
|
|
}
|
|
|
|
#endif // TESTING_SPMV_SELL_HPP
|