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Flatten subprojects into a single base monorepo
2026-09-02 16:34:47 -07:00

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C++

/*! \file */
/* ************************************************************************
* Copyright (C) 2019-2026 Advanced Micro Devices, Inc. All rights Reserved.
*
* Permission is hereby granted, free of charge, to any person obtaining a copy
* of this software and associated documentation files (the "Software"), to deal
* in the Software without restriction, including without limitation the rights
* to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
* copies of the Software, and to permit persons to whom the Software is
* furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
* THE SOFTWARE.
*
* ************************************************************************ */
#pragma once
#ifndef ROCSPARSE_MATRIX_ELL_HPP
#define ROCSPARSE_MATRIX_ELL_HPP
#include "rocsparse_vector.hpp"
#include "rocsparse_clients_routine_trace.hpp"
template <memory_mode::value_t MODE, typename T, typename I = rocsparse_int>
struct ell_matrix
{
template <typename S>
using array_t = typename memory_traits<MODE>::template array_t<S>;
I m{};
I n{};
I width{};
int64_t nnz{};
rocsparse_index_base base{};
rocsparse_storage_mode storage_mode{rocsparse_storage_mode_sorted};
array_t<I> ind{};
array_t<T> val{};
ell_matrix(){};
~ell_matrix(){};
ell_matrix(I m_, I n_, I width_, rocsparse_index_base base_)
: m(m_)
, n(n_)
, width(width_)
, nnz((int64_t)m_ * width_)
, base(base_)
, ind(nnz)
, val(nnz){};
explicit ell_matrix(const ell_matrix<MODE, T, I>& that_, bool transfer = true)
: ell_matrix<MODE, T, I>(that_.m, that_.n, that_.width, that_.base)
{
ROCSPARSE_CLIENTS_ROUTINE_TRACE;
if(transfer)
{
this->transfer_from(that_);
}
}
template <memory_mode::value_t THAT_MODE>
explicit ell_matrix(const ell_matrix<THAT_MODE, T, I>& that_, bool transfer = true)
: ell_matrix<MODE, T, I>(that_.m, that_.n, that_.width, that_.base)
{
ROCSPARSE_CLIENTS_ROUTINE_TRACE;
if(transfer)
{
this->transfer_from(that_);
}
}
template <memory_mode::value_t THAT_MODE>
ell_matrix& operator()(const ell_matrix<THAT_MODE, T, I>& that_, bool transfer = true)
{
ROCSPARSE_CLIENTS_ROUTINE_TRACE;
this->define(that_.m, that_.n, that_.width, that_.base);
if(transfer)
{
this->transfer_from(that_);
}
return *this;
}
template <memory_mode::value_t THAT_MODE>
void transfer_from(const ell_matrix<THAT_MODE, T, I>& that)
{
ROCSPARSE_CLIENTS_ROUTINE_TRACE;
CHECK_HIP_THROW_ERROR((this->m == that.m && this->n == that.n && this->nnz == that.nnz
&& this->base == that.base)
? hipSuccess
: hipErrorInvalidValue);
this->ind.transfer_from(that.ind);
this->val.transfer_from(that.val);
};
void define(I m_, I n_, I width_, rocsparse_index_base base_)
{
ROCSPARSE_CLIENTS_ROUTINE_TRACE;
if(m_ != this->m)
{
this->m = m_;
}
if(n_ != this->n)
{
this->n = n_;
}
if(width_ != this->width)
{
this->width = width_;
}
if(base_ != this->base)
{
this->base = base_;
}
if((int64_t)this->m * this->width != this->nnz)
{
this->nnz = (int64_t)this->m * this->width;
this->ind.resize(this->nnz);
this->val.resize(this->nnz);
}
}
template <memory_mode::value_t THAT_MODE>
void near_check(const ell_matrix<THAT_MODE, T, I>& that_,
floating_data_t<T> tol = default_tolerance<T>::value) const
{
ROCSPARSE_CLIENTS_ROUTINE_TRACE;
switch(MODE)
{
case memory_mode::device:
{
ell_matrix<memory_mode::host, T, I> on_host(*this);
on_host.near_check(that_, tol);
break;
}
case memory_mode::managed:
case memory_mode::host:
{
switch(THAT_MODE)
{
case memory_mode::managed:
case memory_mode::host:
{
unit_check_scalar(this->m, that_.m);
unit_check_scalar(this->n, that_.n);
unit_check_scalar(this->width, that_.width);
unit_check_scalar(this->nnz, that_.nnz);
unit_check_enum(this->base, that_.base);
this->ind.unit_check(that_.ind);
this->val.near_check(that_.val, tol);
break;
}
case memory_mode::device:
{
ell_matrix<memory_mode::host, T, I> that(that_);
this->near_check(that, tol);
break;
}
}
break;
}
}
}
void info() const
{
ROCSPARSE_CLIENTS_ROUTINE_TRACE;
std::cout << "INFO ELL" << std::endl;
std::cout << " m : " << this->m << std::endl;
std::cout << " n : " << this->n << std::endl;
std::cout << " nnz : " << this->nnz << std::endl;
std::cout << " width : " << this->width << std::endl;
std::cout << " base : " << this->base << std::endl;
}
};
template <typename T, typename I = rocsparse_int>
using host_ell_matrix = ell_matrix<memory_mode::host, T, I>;
template <typename T, typename I = rocsparse_int>
using device_ell_matrix = ell_matrix<memory_mode::device, T, I>;
template <typename T, typename I = rocsparse_int>
using managed_ell_matrix = ell_matrix<memory_mode::managed, T, I>;
#endif // ROCSPARSE_MATRIX_ELL_HPP