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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.
*/
#include <cusp/detail/dispatch/transpose.h>
#include <thrust/detail/type_traits.h>
namespace cusp
{
namespace detail
{
// COO format
template <typename MatrixType1, typename MatrixType2>
void transpose(const MatrixType1& A, MatrixType2& At,
cusp::coo_format,
cusp::coo_format)
{
cusp::detail::dispatch::transpose(A, At,
typename MatrixType2::memory_space());
}
// CSR format
template <typename MatrixType1, typename MatrixType2>
void transpose(const MatrixType1& A, MatrixType2& At,
cusp::csr_format,
cusp::csr_format)
{
cusp::detail::dispatch::transpose(A, At,
typename MatrixType2::memory_space());
}
// convert logical linear index in the (tranposed) destination into a physical index in the source
template <typename IndexType, typename Orientation1, typename Orientation2>
struct transpose_index_functor : public thrust::unary_function<IndexType,IndexType>
{
IndexType num_rows, num_cols, pitch; // source dimensions
transpose_index_functor(IndexType num_rows, IndexType num_cols, IndexType pitch)
: num_rows(num_rows), num_cols(num_cols), pitch(pitch) {}
__host__ __device__
IndexType operator()(IndexType linear_index)
{
IndexType i = cusp::detail::linear_index_to_row_index(linear_index, num_cols, num_rows, Orientation2());
IndexType j = cusp::detail::linear_index_to_col_index(linear_index, num_cols, num_rows, Orientation2());
return cusp::detail::index_of(j, i, pitch, Orientation1());
}
};
// Array2d format
template <typename MatrixType1, typename MatrixType2>
void transpose(const MatrixType1& A, MatrixType2& At,
cusp::array2d_format,
cusp::array2d_format)
{
typedef typename MatrixType1::orientation Orientation1;
typedef typename MatrixType2::orientation Orientation2;
At.resize(A.num_cols, A.num_rows);
thrust::counting_iterator<size_t> begin(0);
thrust::counting_iterator<size_t> end(A.num_entries);
// prefer coalesced writes to coalesced reads
cusp::detail::transpose_index_functor <size_t, Orientation1, Orientation2> func1(A.num_rows, A.num_cols, A.pitch);
cusp::detail::logical_to_physical_functor<size_t, Orientation2> func2(At.num_rows, At.num_cols, At.pitch);
thrust::copy(thrust::make_permutation_iterator(A.values.begin(), thrust::make_transform_iterator(begin, func1)),
thrust::make_permutation_iterator(A.values.begin(), thrust::make_transform_iterator(end, func1)),
thrust::make_permutation_iterator(At.values.begin(), thrust::make_transform_iterator(begin, func2)));
}
// Default case uses CSR transpose
template <typename MatrixType1, typename MatrixType2,
typename MatrixFormat1, typename MatrixFormat2>
void transpose(const MatrixType1& A, MatrixType2& At,
MatrixFormat1, MatrixFormat2)
{
typedef typename MatrixType1::index_type IndexType;
typedef typename MatrixType1::value_type ValueType;
typedef typename MatrixType1::memory_space MemorySpace;
cusp::csr_matrix<IndexType, ValueType, MemorySpace> A_csr(A);
cusp::csr_matrix<IndexType, ValueType, MemorySpace> At_csr;
cusp::transpose(A_csr, At_csr);
cusp::convert(At_csr, At);
}
} // end namespace detail
template <typename MatrixType1, typename MatrixType2>
void transpose(const MatrixType1& A, MatrixType2& At)
{
CUSP_PROFILE_SCOPED();
cusp::detail::transpose(A, At,
typename MatrixType1::format(),
typename MatrixType2::format());
}
} // end namespace cusp
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