derek.holloway
7502bf64a4
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700 lines
25 KiB
C++
700 lines
25 KiB
C++
/* ************************************************************************
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* Copyright (C) 2020-2025 Advanced Micro Devices, Inc. All rights Reserved.
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the Software), to deal
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* in the Software without restriction, including without limitation the rights
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* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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* copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in
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* all copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED AS IS, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
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* THE SOFTWARE.
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*
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* ************************************************************************ */
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#pragma once
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#include "auto_testing_bad_arg.hpp"
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template <rocsparse_format FORMAT, typename I, typename J, typename T>
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struct testing_matrix_type_traits;
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//
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// TRAITS FOR CSR FORMAT.
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//
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template <typename I, typename J, typename T>
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struct testing_matrix_type_traits<rocsparse_format_csr, I, J, T>
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{
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template <typename U>
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using host_sparse_matrix = host_csr_matrix<U, I, J>;
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template <typename U>
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using device_sparse_matrix = device_csr_matrix<U, I, J>;
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};
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template <typename I, typename J, typename T>
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struct testing_matrix_type_traits<rocsparse_format_csc, I, J, T>
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{
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template <typename U>
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using host_sparse_matrix = host_csc_matrix<U, I, J>;
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template <typename U>
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using device_sparse_matrix = device_csc_matrix<U, I, J>;
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};
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//
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// TRAITS FOR COO FORMAT.
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//
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template <typename I, typename T>
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struct testing_matrix_type_traits<rocsparse_format_coo, I, I, T>
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{
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template <typename U>
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using host_sparse_matrix = host_coo_matrix<U, I>;
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template <typename U>
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using device_sparse_matrix = device_coo_matrix<U, I>;
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};
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//
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// TRAITS FOR COO AOS FORMAT.
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//
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template <typename I, typename T>
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struct testing_matrix_type_traits<rocsparse_format_coo_aos, I, I, T>
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{
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template <typename U>
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using host_sparse_matrix = host_coo_aos_matrix<U, I>;
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template <typename U>
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using device_sparse_matrix = device_coo_aos_matrix<U, I>;
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};
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//
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// TRAITS FOR ELL FORMAT.
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//
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template <typename I, typename T>
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struct testing_matrix_type_traits<rocsparse_format_ell, I, I, T>
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{
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template <typename U>
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using host_sparse_matrix = host_ell_matrix<U, I>;
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template <typename U>
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using device_sparse_matrix = device_ell_matrix<U, I>;
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};
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template <rocsparse_format FORMAT,
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typename I,
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typename J,
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typename A,
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typename B,
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typename C,
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typename T>
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struct testing_sddmm_dispatch_traits;
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//
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// TRAITS FOR CSR FORMAT.
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//
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template <typename I, typename J, typename A, typename B, typename C, typename T>
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struct testing_sddmm_dispatch_traits<rocsparse_format_csr, I, J, A, B, C, T>
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{
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using traits = testing_matrix_type_traits<rocsparse_format_csr, I, J, C>;
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template <typename U>
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using host_sparse_matrix = typename traits::template host_sparse_matrix<U>;
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template <typename U>
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using device_sparse_matrix = typename traits::template device_sparse_matrix<U>;
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template <typename... Ts>
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static void sparse_initialization(rocsparse_matrix_factory<C, I, J>& matrix_factory,
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host_sparse_matrix<C>& hC,
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Ts&&... ts)
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{
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matrix_factory.init_csr(hC, ts...);
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}
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static void host_calculation(rocsparse_operation trans_A,
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rocsparse_operation trans_B,
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const T* h_alpha,
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const host_dense_matrix<A>& hA,
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const host_dense_matrix<B>& hB,
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const T* h_beta,
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host_sparse_matrix<C>& hC)
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{
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rocsparse_host<T, I, J, A, B, C>::csrddmm(
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trans_A,
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trans_B,
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hA.order,
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hB.order,
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hC.m,
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hC.n,
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((trans_A == rocsparse_operation_none) ? hA.n : hA.m),
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hC.nnz,
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h_alpha,
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hA,
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hA.ld,
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hB,
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hB.ld,
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h_beta,
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hC.ptr,
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hC.ind,
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hC.val,
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hC.base);
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}
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};
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//
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// TRAITS FOR CSC FORMAT.
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//
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template <typename I, typename J, typename A, typename B, typename C, typename T>
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struct testing_sddmm_dispatch_traits<rocsparse_format_csc, I, J, A, B, C, T>
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{
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using traits = testing_matrix_type_traits<rocsparse_format_csc, I, J, C>;
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template <typename U>
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using host_sparse_matrix = typename traits::template host_sparse_matrix<U>;
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template <typename U>
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using device_sparse_matrix = typename traits::template device_sparse_matrix<U>;
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template <typename... Ts>
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static void sparse_initialization(rocsparse_matrix_factory<C, I, J>& matrix_factory,
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host_sparse_matrix<C>& hC,
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Ts&&... ts)
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{
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matrix_factory.init_csc(hC, ts...);
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}
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static void host_calculation(rocsparse_operation trans_A,
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rocsparse_operation trans_B,
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const T* h_alpha,
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const host_dense_matrix<A>& hA,
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const host_dense_matrix<B>& hB,
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const T* h_beta,
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host_sparse_matrix<C>& hC)
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{
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rocsparse_host<T, I, J, A, B, C>::cscddmm(
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trans_A,
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trans_B,
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hA.order,
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hB.order,
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hC.m,
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hC.n,
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((trans_A == rocsparse_operation_none) ? hA.n : hA.m),
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hC.nnz,
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h_alpha,
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hA,
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hA.ld,
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hB,
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hB.ld,
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h_beta,
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hC.ptr,
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hC.ind,
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hC.val,
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hC.base);
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}
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};
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//
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// TRAITS FOR COO FORMAT.
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//
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template <typename I, typename A, typename B, typename C, typename T>
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struct testing_sddmm_dispatch_traits<rocsparse_format_coo, I, I, A, B, C, T>
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{
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using traits = testing_matrix_type_traits<rocsparse_format_coo, I, I, C>;
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template <typename U>
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using host_sparse_matrix = typename traits::template host_sparse_matrix<U>;
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template <typename U>
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using device_sparse_matrix = typename traits::template device_sparse_matrix<U>;
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template <typename... Ts>
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static void sparse_initialization(rocsparse_matrix_factory<C, I, I>& matrix_factory,
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host_sparse_matrix<C>& hC,
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Ts&&... ts)
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{
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matrix_factory.init_coo(hC, ts...);
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}
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static void host_calculation(rocsparse_operation trans_A,
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rocsparse_operation trans_B,
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const T* h_alpha,
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const host_dense_matrix<A>& hA,
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const host_dense_matrix<B>& hB,
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const T* h_beta,
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host_sparse_matrix<C>& hC)
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{
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rocsparse_host<T, I, I, A, B, C>::cooddmm(
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trans_A,
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trans_B,
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hA.order,
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hB.order,
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hC.m,
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hC.n,
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((trans_A == rocsparse_operation_none) ? hA.n : hA.m),
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hC.nnz,
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h_alpha,
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hA,
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hA.ld,
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hB,
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hB.ld,
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h_beta,
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hC.row_ind,
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hC.col_ind,
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hC.val,
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hC.base);
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}
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};
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//
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// TRAITS FOR COO AOS FORMAT.
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//
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template <typename I, typename A, typename B, typename C, typename T>
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struct testing_sddmm_dispatch_traits<rocsparse_format_coo_aos, I, I, A, B, C, T>
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{
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using traits = testing_matrix_type_traits<rocsparse_format_coo_aos, I, I, C>;
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template <typename U>
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using host_sparse_matrix = typename traits::template host_sparse_matrix<U>;
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template <typename U>
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using device_sparse_matrix = typename traits::template device_sparse_matrix<U>;
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template <typename... Ts>
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static void sparse_initialization(rocsparse_matrix_factory<C, I, I>& matrix_factory,
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host_sparse_matrix<C>& hC,
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Ts&&... ts)
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{
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matrix_factory.init_coo_aos(hC, ts...);
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}
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static void host_calculation(rocsparse_operation trans_A,
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rocsparse_operation trans_B,
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const T* h_alpha,
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const host_dense_matrix<A>& hA,
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const host_dense_matrix<B>& hB,
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const T* h_beta,
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host_sparse_matrix<C>& hC)
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{
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rocsparse_host<T, I, I, A, B, C>::cooaosddmm(
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trans_A,
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trans_B,
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hA.order,
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hB.order,
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hC.m,
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hC.n,
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((trans_A == rocsparse_operation_none) ? hA.n : hA.m),
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hC.nnz,
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h_alpha,
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hA,
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hA.ld,
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hB,
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hB.ld,
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h_beta,
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hC.ind,
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hC.ind + 1,
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hC.val,
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hC.base);
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}
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};
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//
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// TRAITS FOR ELL FORMAT.
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//
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template <typename I, typename A, typename B, typename C, typename T>
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struct testing_sddmm_dispatch_traits<rocsparse_format_ell, I, I, A, B, C, T>
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{
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using traits = testing_matrix_type_traits<rocsparse_format_ell, I, I, C>;
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template <typename U>
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using host_sparse_matrix = typename traits::template host_sparse_matrix<U>;
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template <typename U>
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using device_sparse_matrix = typename traits::template device_sparse_matrix<U>;
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template <typename... Ts>
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static void sparse_initialization(rocsparse_matrix_factory<C, I, I>& matrix_factory,
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host_sparse_matrix<C>& hC,
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Ts&&... ts)
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{
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matrix_factory.init_ell(hC, ts...);
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}
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static void host_calculation(rocsparse_operation trans_A,
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rocsparse_operation trans_B,
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const T* h_alpha,
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const host_dense_matrix<A>& hA,
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const host_dense_matrix<B>& hB,
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const T* h_beta,
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host_sparse_matrix<C>& hC)
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{
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rocsparse_host<T, I, I, A, B, C>::ellddmm(
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trans_A,
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trans_B,
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hA.order,
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hB.order,
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hC.m,
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hC.n,
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((trans_A == rocsparse_operation_none) ? hA.n : hA.m),
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hC.nnz,
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h_alpha,
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hA,
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hA.ld,
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hB,
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hB.ld,
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h_beta,
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hC.width,
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hC.ind,
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hC.val,
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hC.base);
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}
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};
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template <rocsparse_format FORMAT,
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typename I,
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typename J,
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typename A,
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typename B,
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typename C,
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typename T>
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struct testing_sddmm_dispatch
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{
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private:
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using traits = testing_sddmm_dispatch_traits<FORMAT, I, J, A, B, C, T>;
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template <typename U>
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using host_sparse_matrix = typename traits::template host_sparse_matrix<U>;
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template <typename U>
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using device_sparse_matrix = typename traits::template device_sparse_matrix<U>;
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public:
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static void testing_sddmm_bad_arg(const Arguments& arg)
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{
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const T local_alpha = 0.6;
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const T local_beta = 0.1;
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const void* alpha = (const void*)&local_alpha;
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const void* beta = (const void*)&local_beta;
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rocsparse_local_handle local_handle;
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rocsparse_handle handle = local_handle;
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rocsparse_operation trans_A = rocsparse_operation_none;
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rocsparse_operation trans_B = rocsparse_operation_none;
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rocsparse_sddmm_alg alg = rocsparse_sddmm_alg_default;
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size_t local_buffer_size;
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size_t* buffer_size = &local_buffer_size;
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void* temp_buffer = (void*)0x4;
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rocsparse_datatype compute_type = get_datatype<T>();
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#define PARAMS_BUFFER_SIZE \
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handle, trans_A, trans_B, alpha, mat_A, mat_B, beta, mat_C, compute_type, alg, buffer_size
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#define PARAMS \
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handle, trans_A, trans_B, alpha, mat_A, mat_B, beta, mat_C, compute_type, alg, temp_buffer
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//
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// AUTOMATIC BAD ARGS.
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//
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{
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device_dense_matrix<A> dA;
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device_dense_matrix<B> dB;
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rocsparse_local_dnmat local_A(dA), local_B(dB);
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device_sparse_matrix<C> dC;
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rocsparse_local_spmat local_C(dC);
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rocsparse_dnmat_descr mat_A = local_A;
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rocsparse_dnmat_descr mat_B = local_B;
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rocsparse_spmat_descr mat_C = local_C;
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static constexpr int num_to_exclude = 1;
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static constexpr int to_exclude[num_to_exclude] = {10};
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bad_arg_analysis(rocsparse_sddmm_buffer_size, PARAMS_BUFFER_SIZE);
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select_bad_arg_analysis(rocsparse_sddmm_preprocess, num_to_exclude, to_exclude, PARAMS);
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select_bad_arg_analysis(rocsparse_sddmm, num_to_exclude, to_exclude, PARAMS);
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}
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// conjugate transpose
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{
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device_dense_matrix<A> dA;
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device_dense_matrix<B> dB;
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rocsparse_local_dnmat local_A(dA), local_B(dB);
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device_sparse_matrix<C> dC;
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rocsparse_local_spmat local_C(dC);
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rocsparse_dnmat_descr mat_A = local_A;
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rocsparse_dnmat_descr mat_B = local_B;
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rocsparse_spmat_descr mat_C = local_C;
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trans_A = rocsparse_operation_conjugate_transpose;
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trans_B = rocsparse_operation_none;
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EXPECT_ROCSPARSE_STATUS(rocsparse_sddmm_buffer_size(PARAMS_BUFFER_SIZE),
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rocsparse_status_not_implemented);
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EXPECT_ROCSPARSE_STATUS(rocsparse_sddmm_preprocess(PARAMS),
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rocsparse_status_not_implemented);
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EXPECT_ROCSPARSE_STATUS(rocsparse_sddmm(PARAMS), rocsparse_status_not_implemented);
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trans_A = rocsparse_operation_none;
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trans_B = rocsparse_operation_conjugate_transpose;
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EXPECT_ROCSPARSE_STATUS(rocsparse_sddmm_buffer_size(PARAMS_BUFFER_SIZE),
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rocsparse_status_not_implemented);
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EXPECT_ROCSPARSE_STATUS(rocsparse_sddmm_preprocess(PARAMS),
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rocsparse_status_not_implemented);
|
|
|
|
EXPECT_ROCSPARSE_STATUS(rocsparse_sddmm(PARAMS), rocsparse_status_not_implemented);
|
|
|
|
trans_A = rocsparse_operation_none;
|
|
trans_B = rocsparse_operation_none;
|
|
}
|
|
|
|
// buffer size
|
|
{
|
|
device_dense_matrix<A> dA;
|
|
device_dense_matrix<B> dB;
|
|
rocsparse_local_dnmat local_A(dA), local_B(dB);
|
|
|
|
device_sparse_matrix<C> dC(10, 10, 10, rocsparse_index_base_zero);
|
|
rocsparse_local_spmat local_C(dC);
|
|
|
|
rocsparse_dnmat_descr mat_A = local_A;
|
|
rocsparse_dnmat_descr mat_B = local_B;
|
|
rocsparse_spmat_descr mat_C = local_C;
|
|
|
|
alg = rocsparse_sddmm_alg_dense;
|
|
temp_buffer = nullptr;
|
|
|
|
EXPECT_ROCSPARSE_STATUS(rocsparse_sddmm(PARAMS), rocsparse_status_invalid_pointer);
|
|
|
|
alg = rocsparse_sddmm_alg_default;
|
|
temp_buffer = (void*)0x4;
|
|
}
|
|
|
|
#undef PARAMS
|
|
#undef PARAMS_BUFFER_SIZE
|
|
}
|
|
|
|
static void testing_sddmm(const Arguments& arg)
|
|
{
|
|
J M = arg.M;
|
|
J N = arg.N;
|
|
J K = arg.K;
|
|
rocsparse_operation trans_A = arg.transA;
|
|
rocsparse_operation trans_B = arg.transB;
|
|
rocsparse_index_base base = arg.baseA;
|
|
rocsparse_sddmm_alg alg = arg.sddmm_alg;
|
|
rocsparse_datatype ttype = get_datatype<T>();
|
|
rocsparse_order order_A = arg.order;
|
|
rocsparse_order order_B = arg.orderB;
|
|
// Create rocsparse handle
|
|
rocsparse_local_handle handle(arg);
|
|
|
|
#ifndef ROCSPARSE_WITH_ROCBLAS
|
|
if(arg.sddmm_alg == rocsparse_sddmm_alg_dense)
|
|
{
|
|
std::cerr
|
|
<< "No BLAS implementation is available, skipping rocsparse_sddmm_alg_dense test."
|
|
<< std::endl;
|
|
return;
|
|
}
|
|
#endif
|
|
|
|
host_scalar<T> h_alpha(arg.get_alpha<T>());
|
|
host_scalar<T> h_beta(arg.get_beta<T>());
|
|
|
|
device_scalar<T> d_alpha(h_alpha);
|
|
device_scalar<T> d_beta(h_beta);
|
|
|
|
#define PARAMS_BUFFER_SIZE(alpha_, A_, B_, beta_, C_) \
|
|
handle, trans_A, trans_B, alpha_, (const rocsparse_dnmat_descr&)A_, \
|
|
(const rocsparse_dnmat_descr&)B_, beta_, (const rocsparse_spmat_descr&)C_, ttype, alg, \
|
|
&buffer_size
|
|
#define PARAMS(alpha_, A_, B_, beta_, C_) \
|
|
handle, trans_A, trans_B, alpha_, (const rocsparse_dnmat_descr&)A_, \
|
|
(const rocsparse_dnmat_descr&)B_, beta_, (const rocsparse_spmat_descr&)C_, ttype, alg, \
|
|
dbuffer
|
|
|
|
// Argument sanity check before allocating invalid memory
|
|
|
|
// Allocate memory on device
|
|
// Pointer mode
|
|
|
|
// Check structures
|
|
// Check Sddmm when structures can be created
|
|
if(M <= 0 || N <= 0)
|
|
{
|
|
|
|
if(M == 0 || N == 0)
|
|
{
|
|
CHECK_ROCSPARSE_ERROR(
|
|
rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
|
|
device_sparse_matrix<C> dC;
|
|
device_dense_matrix<A> dA;
|
|
device_dense_matrix<B> dB;
|
|
|
|
rocsparse_local_spmat mat_C(dC);
|
|
rocsparse_local_dnmat mat_A(dA), mat_B(dB);
|
|
|
|
size_t buffer_size;
|
|
void* dbuffer = nullptr;
|
|
EXPECT_ROCSPARSE_STATUS(rocsparse_sddmm_buffer_size(PARAMS_BUFFER_SIZE(
|
|
h_alpha, mat_A, mat_B, h_beta, mat_C)),
|
|
rocsparse_status_success);
|
|
CHECK_HIP_ERROR(rocsparse_hipMalloc(&dbuffer, 10));
|
|
EXPECT_ROCSPARSE_STATUS(
|
|
rocsparse_sddmm_preprocess(PARAMS(h_alpha, mat_A, mat_B, h_beta, mat_C)),
|
|
rocsparse_status_success);
|
|
EXPECT_ROCSPARSE_STATUS(
|
|
rocsparse_sddmm(PARAMS(h_alpha, mat_A, mat_B, h_beta, mat_C)),
|
|
rocsparse_status_success);
|
|
CHECK_HIP_ERROR(rocsparse_hipFree(dbuffer));
|
|
return;
|
|
}
|
|
return;
|
|
}
|
|
|
|
// Wavefront size
|
|
int dev;
|
|
CHECK_HIP_ERROR(hipGetDevice(&dev));
|
|
|
|
hipDeviceProp_t prop;
|
|
CHECK_HIP_ERROR(hipGetDeviceProperties(&prop, dev));
|
|
|
|
//
|
|
// INITIALIZATE THE SPARSE MATRIX
|
|
//
|
|
host_sparse_matrix<C> hC;
|
|
{
|
|
bool type = (prop.warpSize == 32) ? true : false;
|
|
static constexpr bool full_rank = false;
|
|
rocsparse_matrix_factory<C, I, J> matrix_factory(
|
|
arg, arg.timing ? false : type, full_rank);
|
|
traits::sparse_initialization(matrix_factory, hC, M, N, base);
|
|
}
|
|
|
|
device_sparse_matrix<C> dC(hC);
|
|
|
|
const J hA_m = (trans_A == rocsparse_operation_none) ? M : K;
|
|
const J hA_n = (trans_A == rocsparse_operation_none) ? K : M;
|
|
host_dense_matrix<A> hA(hA_m, hA_n, order_A);
|
|
rocsparse_matrix_utils::init_exact(hA);
|
|
|
|
const J hB_m = (trans_B == rocsparse_operation_none) ? K : N;
|
|
const J hB_n = (trans_B == rocsparse_operation_none) ? N : K;
|
|
host_dense_matrix<B> hB(hB_m, hB_n, order_B);
|
|
rocsparse_matrix_utils::init_exact(hB);
|
|
|
|
device_dense_matrix<A> dA(hA);
|
|
device_dense_matrix<B> dB(hB);
|
|
|
|
rocsparse_local_spmat mat_C(dC);
|
|
rocsparse_local_dnmat mat_A(dA), mat_B(dB);
|
|
|
|
size_t buffer_size;
|
|
CHECK_ROCSPARSE_ERROR(
|
|
rocsparse_sddmm_buffer_size(PARAMS_BUFFER_SIZE(h_alpha, mat_A, mat_B, h_beta, mat_C)));
|
|
|
|
void* dbuffer = nullptr;
|
|
CHECK_HIP_ERROR(rocsparse_hipMalloc(&dbuffer, std::max(buffer_size, sizeof(I))));
|
|
if(arg.unit_check)
|
|
{
|
|
// Pointer mode host
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
|
|
CHECK_ROCSPARSE_ERROR(
|
|
rocsparse_sddmm_preprocess(PARAMS(h_alpha, mat_A, mat_B, h_beta, mat_C)));
|
|
|
|
CHECK_ROCSPARSE_ERROR(
|
|
testing::rocsparse_sddmm(PARAMS(h_alpha, mat_A, mat_B, h_beta, mat_C)));
|
|
if(ROCSPARSE_REPRODUCIBILITY)
|
|
{
|
|
rocsparse_reproducibility::save("C pointer mode host", dC);
|
|
}
|
|
|
|
{
|
|
host_vector<C> hC_val_copy(hC.val);
|
|
//
|
|
// HOST CALCULATION
|
|
//
|
|
traits::host_calculation(trans_A, trans_B, h_alpha, hA, hB, h_beta, hC);
|
|
|
|
//
|
|
// CHECK MATRICES
|
|
//
|
|
hC.near_check(dC);
|
|
|
|
//
|
|
// COPY BACK ORIGINAL VALUES.
|
|
//
|
|
dC.val.transfer_from(hC_val_copy);
|
|
}
|
|
|
|
// Pointer mode device
|
|
{
|
|
CHECK_ROCSPARSE_ERROR(
|
|
rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_device));
|
|
CHECK_ROCSPARSE_ERROR(
|
|
rocsparse_sddmm_preprocess(PARAMS(d_alpha, mat_A, mat_B, d_beta, mat_C)));
|
|
CHECK_ROCSPARSE_ERROR(
|
|
testing::rocsparse_sddmm(PARAMS(d_alpha, mat_A, mat_B, d_beta, mat_C)));
|
|
}
|
|
if(ROCSPARSE_REPRODUCIBILITY)
|
|
{
|
|
rocsparse_reproducibility::save("C pointer mode device", dC);
|
|
}
|
|
|
|
hC.near_check(dC);
|
|
}
|
|
|
|
if(arg.timing)
|
|
{
|
|
CHECK_ROCSPARSE_ERROR(rocsparse_set_pointer_mode(handle, rocsparse_pointer_mode_host));
|
|
|
|
CHECK_ROCSPARSE_ERROR(
|
|
rocsparse_sddmm_preprocess(PARAMS(h_alpha, mat_A, mat_B, h_beta, mat_C)));
|
|
|
|
const double gpu_time_used = rocsparse_clients::run_benchmark(
|
|
arg, rocsparse_sddmm, PARAMS(h_alpha, mat_A, mat_B, h_beta, mat_C));
|
|
|
|
double gflop_count = rocsparse_gflop_count<FORMAT>::sddmm(
|
|
dC.m, dC.n, dC.nnz, K, *h_beta != static_cast<T>(0));
|
|
double gbyte_count = rocsparse_gbyte_count<FORMAT>::template sddmm<T>(
|
|
dC.m, dC.n, dC.nnz, K, *h_beta != static_cast<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::format,
|
|
rocsparse_format2string(FORMAT),
|
|
display_key_t::trans_A,
|
|
rocsparse_operation2string(trans_A),
|
|
display_key_t::trans_B,
|
|
rocsparse_operation2string(trans_B),
|
|
display_key_t::M,
|
|
M,
|
|
display_key_t::N,
|
|
N,
|
|
display_key_t::K,
|
|
K,
|
|
display_key_t::nnz,
|
|
dC.nnz,
|
|
display_key_t::alpha,
|
|
*h_alpha,
|
|
display_key_t::beta,
|
|
*h_beta,
|
|
display_key_t::algorithm,
|
|
rocsparse_sddmmalg2string(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(rocsparse_hipFree(dbuffer));
|
|
return;
|
|
}
|
|
};
|