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209 lines
6.4 KiB
C++
209 lines
6.4 KiB
C++
/*! \file */
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/* ************************************************************************
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* Copyright (C) 2019-2026 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 ROCSPARSE_MATRIX_ELL_HPP
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#define ROCSPARSE_MATRIX_ELL_HPP
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#include "rocsparse_vector.hpp"
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#include "rocsparse_clients_routine_trace.hpp"
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template <memory_mode::value_t MODE, typename T, typename I = rocsparse_int>
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struct ell_matrix
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{
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template <typename S>
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using array_t = typename memory_traits<MODE>::template array_t<S>;
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I m{};
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I n{};
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I width{};
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int64_t nnz{};
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rocsparse_index_base base{};
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rocsparse_storage_mode storage_mode{rocsparse_storage_mode_sorted};
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array_t<I> ind{};
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array_t<T> val{};
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ell_matrix(){};
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~ell_matrix(){};
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ell_matrix(I m_, I n_, I width_, rocsparse_index_base base_)
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: m(m_)
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, n(n_)
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, width(width_)
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, nnz((int64_t)m_ * width_)
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, base(base_)
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, ind(nnz)
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, val(nnz){};
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explicit ell_matrix(const ell_matrix<MODE, T, I>& that_, bool transfer = true)
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: ell_matrix<MODE, T, I>(that_.m, that_.n, that_.width, that_.base)
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{
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ROCSPARSE_CLIENTS_ROUTINE_TRACE;
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if(transfer)
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{
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this->transfer_from(that_);
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}
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}
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template <memory_mode::value_t THAT_MODE>
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explicit ell_matrix(const ell_matrix<THAT_MODE, T, I>& that_, bool transfer = true)
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: ell_matrix<MODE, T, I>(that_.m, that_.n, that_.width, that_.base)
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{
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ROCSPARSE_CLIENTS_ROUTINE_TRACE;
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if(transfer)
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{
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this->transfer_from(that_);
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}
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}
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template <memory_mode::value_t THAT_MODE>
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ell_matrix& operator()(const ell_matrix<THAT_MODE, T, I>& that_, bool transfer = true)
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{
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ROCSPARSE_CLIENTS_ROUTINE_TRACE;
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this->define(that_.m, that_.n, that_.width, that_.base);
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if(transfer)
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{
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this->transfer_from(that_);
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}
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return *this;
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}
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template <memory_mode::value_t THAT_MODE>
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void transfer_from(const ell_matrix<THAT_MODE, T, I>& that)
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{
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ROCSPARSE_CLIENTS_ROUTINE_TRACE;
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CHECK_HIP_THROW_ERROR((this->m == that.m && this->n == that.n && this->nnz == that.nnz
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&& this->base == that.base)
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? hipSuccess
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: hipErrorInvalidValue);
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this->ind.transfer_from(that.ind);
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this->val.transfer_from(that.val);
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};
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void define(I m_, I n_, I width_, rocsparse_index_base base_)
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{
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ROCSPARSE_CLIENTS_ROUTINE_TRACE;
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if(m_ != this->m)
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{
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this->m = m_;
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}
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if(n_ != this->n)
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{
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this->n = n_;
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}
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if(width_ != this->width)
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{
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this->width = width_;
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}
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if(base_ != this->base)
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{
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this->base = base_;
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}
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if((int64_t)this->m * this->width != this->nnz)
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{
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this->nnz = (int64_t)this->m * this->width;
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this->ind.resize(this->nnz);
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this->val.resize(this->nnz);
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}
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}
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template <memory_mode::value_t THAT_MODE>
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void near_check(const ell_matrix<THAT_MODE, T, I>& that_,
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floating_data_t<T> tol = default_tolerance<T>::value) const
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{
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ROCSPARSE_CLIENTS_ROUTINE_TRACE;
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switch(MODE)
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{
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case memory_mode::device:
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{
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ell_matrix<memory_mode::host, T, I> on_host(*this);
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on_host.near_check(that_, tol);
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break;
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}
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case memory_mode::managed:
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case memory_mode::host:
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{
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switch(THAT_MODE)
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{
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case memory_mode::managed:
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case memory_mode::host:
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{
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unit_check_scalar(this->m, that_.m);
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unit_check_scalar(this->n, that_.n);
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unit_check_scalar(this->width, that_.width);
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unit_check_scalar(this->nnz, that_.nnz);
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unit_check_enum(this->base, that_.base);
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this->ind.unit_check(that_.ind);
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this->val.near_check(that_.val, tol);
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break;
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}
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case memory_mode::device:
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{
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ell_matrix<memory_mode::host, T, I> that(that_);
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this->near_check(that, tol);
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break;
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}
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}
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break;
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}
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}
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}
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void info() const
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{
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ROCSPARSE_CLIENTS_ROUTINE_TRACE;
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std::cout << "INFO ELL" << std::endl;
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std::cout << " m : " << this->m << std::endl;
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std::cout << " n : " << this->n << std::endl;
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std::cout << " nnz : " << this->nnz << std::endl;
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std::cout << " width : " << this->width << std::endl;
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std::cout << " base : " << this->base << std::endl;
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}
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};
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template <typename T, typename I = rocsparse_int>
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using host_ell_matrix = ell_matrix<memory_mode::host, T, I>;
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template <typename T, typename I = rocsparse_int>
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using device_ell_matrix = ell_matrix<memory_mode::device, T, I>;
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template <typename T, typename I = rocsparse_int>
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using managed_ell_matrix = ell_matrix<memory_mode::managed, T, I>;
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#endif // ROCSPARSE_MATRIX_ELL_HPP
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