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/*
* Copyright 2008-2009 NVIDIA Corporation
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
/*
* Modifications to this file:
* Copyright (c) 2014-2015, The University of Queensland
* Licensed under the Apache License, Version 2.0.
*
*/
#pragma once
#include <cusp/format.h>
#include <cusp/array2d.h>
#include <cusp/coo_matrix.h>
#include <cusp/detail/device/conversion.h>
#include <cusp/detail/device/conversion_utils.h>
namespace cusp
{
namespace detail
{
namespace device
{
/////////
// CDS //
/////////
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst,
cusp::coo_format,
cusp::cds_format,
const float max_fill = 3.0,
const size_t alignment = 32)
{
const size_t occupied_diagonals = cusp::detail::device::count_diagonals(src);
const float threshold = 1e6; // 1M entries
const float size = float(occupied_diagonals) * float(src.num_rows);
const float fill_ratio = size / std::max(1.0f, float(src.num_entries));
if (max_fill < fill_ratio && size > threshold)
throw cusp::format_conversion_exception("dia_matrix fill-in would exceed maximum tolerance");
cusp::detail::device::coo_to_cds(src, dst, alignment);
}
/////////
// COO //
/////////
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst,
cusp::csr_format,
cusp::coo_format)
{ cusp::detail::device::csr_to_coo(src, dst); }
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst,
cusp::ell_format,
cusp::coo_format)
{ cusp::detail::device::ell_to_coo(src, dst); }
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst,
cusp::dia_format,
cusp::coo_format)
{ cusp::detail::device::dia_to_coo(src, dst); }
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst,
cusp::hyb_format,
cusp::coo_format)
{ cusp::detail::device::hyb_to_coo(src, dst); }
/////////
// CSR //
/////////
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst,
cusp::coo_format,
cusp::csr_format)
{ cusp::detail::device::coo_to_csr(src, dst); }
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst,
cusp::ell_format,
cusp::csr_format)
{ cusp::detail::device::ell_to_csr(src, dst); }
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst,
cusp::dia_format,
cusp::csr_format)
{ cusp::detail::device::dia_to_csr(src, dst); }
/////////
// DIA //
/////////
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst,
cusp::coo_format,
cusp::dia_format,
const float max_fill = 3.0,
const size_t alignment = 32)
{
const size_t occupied_diagonals = cusp::detail::device::count_diagonals(src);
const float threshold = 1e6; // 1M entries
const float size = float(occupied_diagonals) * float(src.num_rows);
const float fill_ratio = size / std::max(1.0f, float(src.num_entries));
if (max_fill < fill_ratio && size > threshold)
throw cusp::format_conversion_exception("dia_matrix fill-in would exceed maximum tolerance");
cusp::detail::device::coo_to_dia(src, dst, alignment);
}
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst,
cusp::csr_format,
cusp::dia_format,
const float max_fill = 3.0,
const size_t alignment = 32)
{
const size_t occupied_diagonals = cusp::detail::device::count_diagonals(src);
const float threshold = 1e6; // 1M entries
const float size = float(occupied_diagonals) * float(src.num_rows);
const float fill_ratio = size / std::max(1.0f, float(src.num_entries));
if (max_fill < fill_ratio && size > threshold)
throw cusp::format_conversion_exception("dia_matrix fill-in would exceed maximum tolerance");
cusp::detail::device::csr_to_dia(src, dst, alignment);
}
/////////
// ELL //
/////////
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst,
cusp::coo_format,
cusp::ell_format,
const float max_fill = 3.0,
const size_t alignment = 32)
{
const size_t max_entries_per_row = cusp::detail::device::compute_max_entries_per_row(src);
const float threshold = 1e6; // 1M entries
const float size = float(max_entries_per_row) * float(src.num_rows);
const float fill_ratio = size / std::max(1.0f, float(src.num_entries));
if (max_fill < fill_ratio && size > threshold)
throw cusp::format_conversion_exception("ell_matrix fill-in would exceed maximum tolerance");
cusp::detail::device::coo_to_ell(src, dst, max_entries_per_row, alignment);
}
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst,
cusp::csr_format,
cusp::ell_format,
const float max_fill = 3.0,
const size_t alignment = 32)
{
const size_t max_entries_per_row = cusp::detail::device::compute_max_entries_per_row(src);
const float threshold = 1e6; // 1M entries
const float size = float(max_entries_per_row) * float(src.num_rows);
const float fill_ratio = size / std::max(1.0f, float(src.num_entries));
if (max_fill < fill_ratio && size > threshold)
throw cusp::format_conversion_exception("ell_matrix fill-in would exceed maximum tolerance");
cusp::detail::device::csr_to_ell(src, dst, max_entries_per_row, alignment);
}
/////////
// HYB //
/////////
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst,
cusp::coo_format,
cusp::hyb_format,
const float relative_speed = 3.0,
const size_t breakeven_threshold = 4096)
{
const size_t num_entries_per_row = cusp::detail::device::compute_optimal_entries_per_row(src, relative_speed, breakeven_threshold);
cusp::detail::device::coo_to_hyb(src, dst, num_entries_per_row);
}
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst,
cusp::csr_format,
cusp::hyb_format,
const float relative_speed = 3.0,
const size_t breakeven_threshold = 4096)
{
const size_t num_entries_per_row = cusp::detail::device::compute_optimal_entries_per_row(src, relative_speed, breakeven_threshold);
cusp::detail::device::csr_to_hyb(src, dst, num_entries_per_row);
}
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst,
cusp::ell_format,
cusp::hyb_format)
{
cusp::detail::device::ell_to_hyb(src, dst);
}
/////////////
// Array1d //
/////////////
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst,
cusp::array2d_format,
cusp::array1d_format)
{
if (src.num_rows == 0 && src.num_cols == 0)
{
dst.resize(0);
}
else if (src.num_cols == 1)
{
dst.resize(src.num_rows);
// interpret dst as a Nx1 column matrix and copy from src
typedef cusp::array2d_view<typename Matrix2::view, cusp::column_major> View;
View view(src.num_rows, 1, src.num_rows, cusp::make_array1d_view(dst));
cusp::copy(src, view);
}
else if (src.num_rows == 1)
{
dst.resize(src.num_cols);
// interpret dst as a 1xN row matrix and copy from src
typedef cusp::array2d_view<typename Matrix2::view, cusp::row_major> View;
View view(1, src.num_cols, src.num_cols, cusp::make_array1d_view(dst));
cusp::copy(src, view);
}
else
{
throw cusp::format_conversion_exception("array2d to array1d conversion is only defined for row or column vectors");
}
}
/////////////
// Array2d //
/////////////
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst,
cusp::array1d_format,
cusp::array2d_format)
{
// interpret src as a Nx1 column matrix and copy to dst
cusp::copy(cusp::make_array2d_view
(src.size(), 1, src.size(),
cusp::make_array1d_view(src),
cusp::column_major()),
dst);
}
////////////////////
// Dense<->Sparse //
////////////////////
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst,
cusp::sparse_format,
cusp::array2d_format)
{
// TODO do this natively on the device
// transfer to host, convert on host, and transfer back to device
typedef typename Matrix1::container SourceContainerType;
typedef typename Matrix2::container DestinationContainerType;
typedef typename DestinationContainerType::template rebind<cusp::host_memory>::type HostDestinationContainerType;
typedef typename SourceContainerType::template rebind<cusp::host_memory>::type HostSourceContainerType;
HostSourceContainerType tmp1(src);
HostDestinationContainerType tmp2;
cusp::detail::host::convert(tmp1, tmp2);
cusp::copy(tmp2, dst);
}
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst,
cusp::array2d_format,
cusp::sparse_format)
{
// TODO do this natively on the device
// transfer to host, convert on host, and transfer back to device
typedef typename Matrix1::container SourceContainerType;
typedef typename Matrix2::container DestinationContainerType;
typedef typename DestinationContainerType::template rebind<cusp::host_memory>::type HostDestinationContainerType;
typedef typename SourceContainerType::template rebind<cusp::host_memory>::type HostSourceContainerType;
HostSourceContainerType tmp1(src);
HostDestinationContainerType tmp2;
cusp::detail::host::convert(tmp1, tmp2);
cusp::copy(tmp2, dst);
}
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst,
cusp::sparse_format,
cusp::dense_format)
{
typedef typename Matrix1::value_type ValueType;
cusp::array2d<ValueType,cusp::device_memory> tmp;
cusp::convert(src, tmp);
cusp::convert(tmp, dst);
}
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst,
cusp::dense_format,
cusp::sparse_format)
{
typedef typename Matrix1::value_type ValueType;
cusp::array2d<ValueType,cusp::device_memory> tmp;
cusp::convert(src, tmp);
cusp::convert(tmp, dst);
}
/////////////////////////////
// Sparse->Sparse Fallback //
/////////////////////////////
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst,
cusp::sparse_format,
cusp::sparse_format)
{
typedef typename Matrix1::index_type IndexType;
typedef typename Matrix1::value_type ValueType;
// convert src -> coo_matrix -> dst
cusp::coo_matrix<IndexType, ValueType, cusp::device_memory> tmp;
cusp::convert(src, tmp);
cusp::convert(tmp, dst);
}
/////////////////
// Entry Point //
/////////////////
template <typename Matrix1, typename Matrix2>
void convert(const Matrix1& src, Matrix2& dst)
{
cusp::detail::device::convert(src, dst,
typename Matrix1::format(),
typename Matrix2::format());
}
} // end namespace device
} // end namespace detail
} // end namespace cusp
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