derek.holloway
7502bf64a4
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458 lines
20 KiB
C++
458 lines
20 KiB
C++
/* ************************************************************************
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* Copyright (C) 2021-2026 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_SPMM_BELL_HPP
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#define TESTING_SPMM_BELL_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_graph.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;
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using namespace hipsparse_test;
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template <typename I, typename T>
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void testing_spmm_bell_bad_arg(const Arguments& argus)
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{
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#if(!defined(CUDART_VERSION))
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int32_t n = 100;
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int32_t m = 100;
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int32_t k = 100;
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int32_t ellBlockSize = 2;
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int32_t ell_cols = 10;
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int32_t safe_size = 100;
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float alpha = 0.6;
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float beta = 0.2;
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hipsparseOperation_t transA = HIPSPARSE_OPERATION_NON_TRANSPOSE;
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hipsparseOperation_t transB = HIPSPARSE_OPERATION_NON_TRANSPOSE;
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hipsparseOrder_t order = HIPSPARSE_ORDER_COL;
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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 dataType = HIP_R_32F;
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hipsparseSpMMAlg_t alg = HIPSPARSE_SPMM_BLOCKED_ELL_ALG1;
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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
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= hipsparse_unique_ptr{device_malloc(sizeof(int32_t) * safe_size), device_free};
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auto dval_managed = hipsparse_unique_ptr{device_malloc(sizeof(float) * safe_size), device_free};
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auto dB_managed = hipsparse_unique_ptr{device_malloc(sizeof(float) * safe_size), device_free};
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auto dC_managed = hipsparse_unique_ptr{device_malloc(sizeof(float) * 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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int32_t* dind = (int32_t*)dind_managed.get();
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float* dval = (float*)dval_managed.get();
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float* dB = (float*)dB_managed.get();
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float* dC = (float*)dC_managed.get();
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void* dbuf = (void*)dbuf_managed.get();
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// SpMM structures
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hipsparseSpMatDescr_t matA;
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hipsparseDnMatDescr_t matB, matC;
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size_t bsize;
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// Create SpMM structures
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verify_hipsparse_status_success(
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hipsparseCreateBlockedEll(
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&matA, m, k, ellBlockSize, ell_cols, dind, dval, idxType, idxBase, dataType),
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"success");
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verify_hipsparse_status_success(hipsparseCreateDnMat(&matB, k, n, k, dB, dataType, order),
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"success");
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verify_hipsparse_status_success(hipsparseCreateDnMat(&matC, m, n, m, dC, dataType, order),
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"success");
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// SpMM buffer
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verify_hipsparse_status_invalid_handle(hipsparseSpMM_bufferSize(
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nullptr, transA, transB, &alpha, matA, matB, &beta, matC, dataType, alg, &bsize));
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMM_bufferSize(
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handle, transA, transB, nullptr, matA, matB, &beta, matC, dataType, alg, &bsize),
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"Error: alpha is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMM_bufferSize(
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handle, transA, transB, &alpha, nullptr, matB, &beta, matC, dataType, alg, &bsize),
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"Error: matA is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMM_bufferSize(
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handle, transA, transB, &alpha, matA, nullptr, &beta, matC, dataType, alg, &bsize),
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"Error: matB is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMM_bufferSize(
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handle, transA, transB, &alpha, matA, matB, nullptr, matC, dataType, alg, &bsize),
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"Error: beta is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMM_bufferSize(
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handle, transA, transB, &alpha, matA, matB, &beta, nullptr, dataType, alg, &bsize),
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"Error: matC is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMM_bufferSize(
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handle, transA, transB, &alpha, matA, matB, &beta, matC, dataType, alg, nullptr),
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"Error: bsize is nullptr");
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// SpMM_preprocess
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verify_hipsparse_status_invalid_handle(hipsparseSpMM_preprocess(
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nullptr, transA, transB, &alpha, matA, matB, &beta, matC, dataType, alg, dbuf));
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMM_preprocess(
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handle, transA, transB, nullptr, matA, matB, &beta, matC, dataType, alg, dbuf),
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"Error: alpha is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMM_preprocess(
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handle, transA, transB, &alpha, nullptr, matB, &beta, matC, dataType, alg, dbuf),
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"Error: matA is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMM_preprocess(
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handle, transA, transB, &alpha, matA, nullptr, &beta, matC, dataType, alg, dbuf),
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"Error: matB is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMM_preprocess(
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handle, transA, transB, &alpha, matA, matB, nullptr, matC, dataType, alg, dbuf),
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"Error: beta is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMM_preprocess(
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handle, transA, transB, &alpha, matA, matB, &beta, nullptr, dataType, alg, dbuf),
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"Error: matC is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMM_preprocess(
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handle, transA, transB, &alpha, matA, matB, &beta, nullptr, dataType, alg, nullptr),
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"Error: dbuf is nullptr");
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// SpMM
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verify_hipsparse_status_invalid_handle(hipsparseSpMM(
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nullptr, transA, transB, &alpha, matA, matB, &beta, matC, dataType, alg, dbuf));
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMM(
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handle, transA, transB, nullptr, matA, matB, &beta, matC, dataType, alg, dbuf),
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"Error: alpha is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMM(
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handle, transA, transB, &alpha, nullptr, matB, &beta, matC, dataType, alg, dbuf),
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"Error: matA is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMM(
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handle, transA, transB, &alpha, matA, nullptr, &beta, matC, dataType, alg, dbuf),
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"Error: matB is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMM(
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handle, transA, transB, &alpha, matA, matB, nullptr, matC, dataType, alg, dbuf),
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"Error: beta is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMM(
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handle, transA, transB, &alpha, matA, matB, &beta, nullptr, dataType, alg, dbuf),
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"Error: matC is nullptr");
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verify_hipsparse_status_invalid_pointer(
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hipsparseSpMM(
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handle, transA, transB, &alpha, matA, matB, &beta, nullptr, dataType, 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(hipsparseDestroyDnMat(matB), "success");
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verify_hipsparse_status_success(hipsparseDestroyDnMat(matC), "success");
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#endif
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}
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template <typename I, typename T>
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void testing_spmm_bell(Arguments argus)
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{
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#if(!defined(CUDART_VERSION) || CUDART_VERSION >= 11021)
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I m = argus.M;
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I n = argus.N;
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I k = argus.K;
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I blockDim = argus.block_dim;
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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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hipsparseOperation_t transB = argus.transB;
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hipsparseOrder_t orderB = argus.orderB;
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hipsparseOrder_t orderC = argus.orderC;
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hipsparseIndexBase_t idxBase = argus.baseA;
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hipsparseSpMMAlg_t alg = argus.spmm_alg;
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std::string filename = argus.filename;
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I mb = (m + blockDim - 1) / blockDim;
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I kb = (k + blockDim - 1) / blockDim;
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I ellBlockSize = blockDim;
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// Index and data type
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hipsparseIndexType_t typeI = getIndexType<I>();
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hipDataType typeT = getDataType<T>();
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// hipSPARSE handle
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hipsparseLocalHandle_t handle(argus);
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// Generate the Blocked-ELL matrix.
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srand(12345ULL);
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I ellCols = 0;
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std::vector<I> hbellColInd;
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std::vector<T> hbellVal;
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CHECK_GENERATE_MATRIX_ERROR(
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generate_bell_matrix(filename,
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(transA == HIPSPARSE_OPERATION_NON_TRANSPOSE) ? mb : kb,
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(transA == HIPSPARSE_OPERATION_NON_TRANSPOSE) ? kb : mb,
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ellCols,
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blockDim,
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hbellColInd,
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hbellVal,
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idxBase));
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m = mb * blockDim;
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k = kb * blockDim;
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// Some matrix properties
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I A_mb = (transA == HIPSPARSE_OPERATION_NON_TRANSPOSE) ? mb : kb;
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I A_nb = (transA == HIPSPARSE_OPERATION_NON_TRANSPOSE) ? kb : mb;
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I B_m = (transB == HIPSPARSE_OPERATION_NON_TRANSPOSE) ? k : n;
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I B_n = (transB == HIPSPARSE_OPERATION_NON_TRANSPOSE) ? n : k;
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I C_m = m;
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I C_n = n;
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int64_t ldb = (orderB == HIPSPARSE_ORDER_COL)
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? ((transB == HIPSPARSE_OPERATION_NON_TRANSPOSE) ? k : n)
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: ((transB == HIPSPARSE_OPERATION_NON_TRANSPOSE) ? n : k);
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int64_t ldc = (orderC == HIPSPARSE_ORDER_COL) ? m : n;
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ldb = std::max(int64_t(1), ldb);
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ldc = std::max(int64_t(1), ldc);
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int64_t nrowB = (orderB == HIPSPARSE_ORDER_COL) ? ldb : B_m;
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int64_t ncolB = (orderB == HIPSPARSE_ORDER_COL) ? B_n : ldb;
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int64_t nrowC = (orderC == HIPSPARSE_ORDER_COL) ? ldc : C_m;
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int64_t ncolC = (orderC == HIPSPARSE_ORDER_COL) ? C_n : ldc;
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// ell_val has (A_mb * blockDim) * ellCols elements in row-major order.
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int64_t nnz_A = A_mb * blockDim * ellCols;
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int64_t nnz_B = nrowB * ncolB;
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int64_t nnz_C = nrowC * ncolC;
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// Allocate host memory for dense matrices.
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std::vector<T> hB(nnz_B);
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std::vector<T> hC_1(nnz_C);
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std::vector<T> hC_2(nnz_C);
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std::vector<T> hC_gold(nnz_C);
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hipsparseInit<T>(hB, nnz_B, 1);
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hipsparseInit<T>(hC_1, nnz_C, 1);
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hC_2 = hC_1;
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hC_gold = hC_1;
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// allocate memory on device
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auto dbell_col_ind_managed = hipsparse_unique_ptr{
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device_malloc(sizeof(I) * A_mb * (ellCols / ellBlockSize)), device_free};
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auto dbell_val_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * nnz_A), device_free};
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auto dB_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * nnz_B), device_free};
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auto dC_1_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * nnz_C), device_free};
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auto dC_2_managed = hipsparse_unique_ptr{device_malloc(sizeof(T) * nnz_C), 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* dbell_col_ind = (I*)dbell_col_ind_managed.get();
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T* dbell_val = (T*)dbell_val_managed.get();
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T* dB = (T*)dB_managed.get();
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T* dC_1 = (T*)dC_1_managed.get();
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T* dC_2 = (T*)dC_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(dbell_col_ind,
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hbellColInd.data(),
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sizeof(I) * A_mb * (ellCols / ellBlockSize),
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hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(
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hipMemcpy(dbell_val, hbellVal.data(), sizeof(T) * nnz_A, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dB, hB.data(), sizeof(T) * nnz_B, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dC_1, hC_1.data(), sizeof(T) * nnz_C, hipMemcpyHostToDevice));
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CHECK_HIP_ERROR(hipMemcpy(dC_2, hC_2.data(), sizeof(T) * nnz_C, 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(hipsparseCreateBlockedEll(
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&matA, m, k, ellBlockSize, ellCols, dbell_col_ind, dbell_val, typeI, idxBase, typeT));
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// Create dense matrices.
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hipsparseDnMatDescr_t matB, matC1, matC2;
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CHECK_HIPSPARSE_ERROR(hipsparseCreateDnMat(&matB, B_m, B_n, ldb, dB, typeT, orderB));
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CHECK_HIPSPARSE_ERROR(hipsparseCreateDnMat(&matC1, C_m, C_n, ldc, dC_1, typeT, orderC));
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CHECK_HIPSPARSE_ERROR(hipsparseCreateDnMat(&matC2, C_m, C_n, ldc, dC_2, typeT, orderC));
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// Query SpMM buffer size.
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size_t bufferSize;
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CHECK_HIPSPARSE_ERROR(hipsparseSpMM_bufferSize(
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handle, transA, transB, &h_alpha, matA, matB, &h_beta, matC1, typeT, alg, &bufferSize));
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void* dbuffer;
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CHECK_HIP_ERROR(hipMalloc(&dbuffer, bufferSize));
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if(argus.call_preprocess)
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{
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#if(!defined(CUDART_VERSION) || CUDART_VERSION >= 11021)
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// Host pointer mode.
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CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_HOST));
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CHECK_HIPSPARSE_ERROR(hipsparseSpMM_preprocess(
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handle, transA, transB, &h_alpha, matA, matB, &h_beta, matC1, typeT, alg, dbuffer));
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#endif
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#if(!defined(CUDART_VERSION))
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// Device pointer mode.
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CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_DEVICE));
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CHECK_HIPSPARSE_ERROR(hipsparseSpMM_preprocess(
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handle, transA, transB, d_alpha, matA, matB, d_beta, matC2, typeT, alg, dbuffer));
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#endif
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}
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if(argus.unit_check)
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{
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// Host pointer mode.
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CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_HOST));
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CHECK_HIPSPARSE_ERROR(hipsparseSpMM(
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|
handle, transA, transB, &h_alpha, matA, matB, &h_beta, matC1, typeT, alg, dbuffer));
|
|
|
|
#if(!defined(CUDART_VERSION))
|
|
// Device pointer mode.
|
|
CHECK_HIPSPARSE_ERROR(hipsparseSetPointerMode(handle, HIPSPARSE_POINTER_MODE_DEVICE));
|
|
CHECK_HIPSPARSE_ERROR(hipsparseSpMM(
|
|
handle, transA, transB, d_alpha, matA, matB, d_beta, matC2, typeT, alg, dbuffer));
|
|
#endif
|
|
|
|
host_bellmm(A_mb,
|
|
n,
|
|
A_nb,
|
|
ellCols,
|
|
ellBlockSize,
|
|
transA,
|
|
transB,
|
|
h_alpha,
|
|
hbellColInd,
|
|
hbellVal,
|
|
hB,
|
|
ldb,
|
|
orderB,
|
|
h_beta,
|
|
hC_gold,
|
|
ldc,
|
|
orderC,
|
|
idxBase);
|
|
|
|
CHECK_HIP_ERROR(hipMemcpy(hC_1.data(), dC_1, sizeof(T) * nnz_C, hipMemcpyDeviceToHost));
|
|
unit_check_near(1, nnz_C, 1, hC_gold.data(), hC_1.data());
|
|
|
|
#if(!defined(CUDART_VERSION))
|
|
CHECK_HIP_ERROR(hipMemcpy(hC_2.data(), dC_2, sizeof(T) * nnz_C, hipMemcpyDeviceToHost));
|
|
unit_check_near(1, nnz_C, 1, hC_gold.data(), hC_2.data());
|
|
#endif
|
|
}
|
|
|
|
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(hipsparseSpMM(
|
|
handle, transA, transB, &h_alpha, matA, matB, &h_beta, matC1, typeT, alg, dbuffer));
|
|
}
|
|
|
|
double gpu_time_used = get_time_us();
|
|
|
|
// Performance run
|
|
for(int iter = 0; iter < number_hot_calls; ++iter)
|
|
{
|
|
CHECK_HIPSPARSE_ERROR(hipsparseSpMM(
|
|
handle, transA, transB, &h_alpha, matA, matB, &h_beta, matC1, typeT, alg, dbuffer));
|
|
}
|
|
|
|
gpu_time_used = (get_time_us() - gpu_time_used) / number_hot_calls;
|
|
|
|
double gflop_count = bellmm_gflop_count(static_cast<int>(A_mb),
|
|
static_cast<int>(n),
|
|
static_cast<int>(ellCols),
|
|
static_cast<int>(blockDim),
|
|
static_cast<int>(C_m * C_n),
|
|
h_beta != make_DataType<T>(0));
|
|
double gbyte_count = bellmm_gbyte_count<T>(static_cast<int>(A_mb),
|
|
static_cast<int>(ellCols),
|
|
static_cast<int>(blockDim),
|
|
static_cast<int>(B_m * B_n),
|
|
static_cast<int>(C_m * C_n),
|
|
h_beta != make_DataType<T>(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::K,
|
|
k,
|
|
display_key_t::block_dim,
|
|
blockDim,
|
|
display_key_t::transA,
|
|
transA,
|
|
display_key_t::transB,
|
|
transB,
|
|
display_key_t::alpha,
|
|
h_alpha,
|
|
display_key_t::beta,
|
|
h_beta,
|
|
display_key_t::algorithm,
|
|
hipsparse_spmmalg2string(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(dbuffer));
|
|
CHECK_HIPSPARSE_ERROR(hipsparseDestroySpMat(matA));
|
|
CHECK_HIPSPARSE_ERROR(hipsparseDestroyDnMat(matB));
|
|
CHECK_HIPSPARSE_ERROR(hipsparseDestroyDnMat(matC1));
|
|
CHECK_HIPSPARSE_ERROR(hipsparseDestroyDnMat(matC2));
|
|
#endif
|
|
}
|
|
#endif // TESTING_SPMM_BELL_HPP
|