/usr/include/trilinos/Kokkos_DefaultBlockSparseMultiply.hpp is in libtrilinos-dev 10.4.0.dfsg-1ubuntu2.
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// ************************************************************************
//
// Kokkos: Node API and Parallel Node Kernels
// Copyright (2009) Sandia Corporation
//
// Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive
// license for use of this work by or on behalf of the U.S. Government.
//
// This library is free software; you can redistribute it and/or modify
// it under the terms of the GNU Lesser General Public License as
// published by the Free Software Foundation; either version 2.1 of the
// License, or (at your option) any later version.
//
// This library is distributed in the hope that it will be useful, but
// WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
// Lesser General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License along with this library; if not, write to the Free Software
// Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307
// USA
// Questions? Contact Michael A. Heroux (maherou@sandia.gov)
//
// ************************************************************************
//@HEADER
#ifndef KOKKOS_DEFAULTBLOCKSPARSEMULTIPLY_HPP
#define KOKKOS_DEFAULTBLOCKSPARSEMULTIPLY_HPP
#include <Teuchos_ArrayRCP.hpp>
#include <Teuchos_DataAccess.hpp>
#include <Teuchos_TestForException.hpp>
#include <Teuchos_TypeNameTraits.hpp>
#include <Teuchos_BLAS_types.hpp>
#include <stdexcept>
#include "Kokkos_ConfigDefs.hpp"
#include "Kokkos_VbrMatrix.hpp"
#include "Kokkos_MultiVector.hpp"
#include "Kokkos_NodeHelpers.hpp"
#include "Kokkos_DefaultArithmetic.hpp"
#include "Kokkos_DefaultBlockSparseMultiplyKernelOps.hpp"
namespace Kokkos {
// default implementation
template <class Scalar, class Ordinal, class Node = DefaultNode::DefaultNodeType>
/*! \class DefaultBlockSparseMultiply
\brief DefaultBlockSparseMultiply
*/
class DefaultBlockSparseMultiply {
public:
typedef Scalar ScalarType;
typedef Ordinal OrdinalType;
typedef Node NodeType;
//! @name Constructors/Destructor
//@{
//! DefaultBlockSparseMultiply constuctor with variable number of indices per row.
DefaultBlockSparseMultiply(const Teuchos::RCP<Node> &node = DefaultNode::getDefaultNode());
//! DefaultBlockSparseMultiply Destructor
~DefaultBlockSparseMultiply();
//@}
//! @name Accessor routines.
//@{
//! Node accessor.
Teuchos::RCP<Node> getNode() const;
//@}
//! @name Initialization of structure
//@{
//! Initialize values of matrix, using Kokkos::VbrMatrix
void initializeValues(const VbrMatrix<Scalar,Ordinal,Node> &matrix);
//! Clear all matrix structure and values.
void clear();
//@}
//! @name Computational methods
//@{
//! Applies the matrix to a MultiVector, overwriting Y.
template <class DomainScalar, class RangeScalar>
void multiply(Teuchos::ETransp trans, RangeScalar alpha, const MultiVector<DomainScalar,Node> &X, MultiVector<RangeScalar,Node> &Y) const;
//! Applies the matrix to a MultiVector, accumulating into Y.
template <class DomainScalar, class RangeScalar>
void multiply(Teuchos::ETransp trans,
RangeScalar alpha, const MultiVector<DomainScalar,Node> &X, RangeScalar beta, MultiVector<RangeScalar,Node> &Y) const;
//@}
protected:
//! Copy constructor (protected and unimplemented)
DefaultBlockSparseMultiply(const DefaultBlockSparseMultiply& source);
Teuchos::RCP<Node> node_;
Teuchos::ArrayRCP<const Ordinal> pbuf_rptr_;
Teuchos::ArrayRCP<const Ordinal> pbuf_cptr_;
Teuchos::ArrayRCP<const Ordinal> pbuf_bptr_;
Teuchos::ArrayRCP<const Ordinal> pbuf_bindx_;
Teuchos::ArrayRCP<const Ordinal> pbuf_indx_;
Teuchos::ArrayRCP<const Scalar> pbuf_vals1D_;
size_t numBlockRows_;
bool valsInit_, isPacked_, isEmpty_;
};
template<class Scalar, class Ordinal, class Node>
DefaultBlockSparseMultiply<Scalar,Ordinal,Node>::DefaultBlockSparseMultiply(const Teuchos::RCP<Node> &node)
: node_(node)
, valsInit_(false)
, isPacked_(false)
, isEmpty_(false) {
}
template<class Scalar, class Ordinal, class Node>
DefaultBlockSparseMultiply<Scalar,Ordinal,Node>::~DefaultBlockSparseMultiply() {
}
template <class Scalar, class Ordinal, class Node>
void DefaultBlockSparseMultiply<Scalar,Ordinal,Node>::initializeValues(const VbrMatrix<Scalar,Ordinal,Node> &matrix) {
using Teuchos::ArrayRCP;
isEmpty_ = false;
pbuf_vals1D_ = matrix.get_values();
pbuf_rptr_ = matrix.get_rptr();
pbuf_cptr_ = matrix.get_cptr();
pbuf_bptr_ = matrix.get_bptr();
pbuf_bindx_ = matrix.get_bindx();
pbuf_indx_ = matrix.get_indx();
numBlockRows_ = matrix.getNumBlockRows();
valsInit_ = true;
isPacked_ = true;
}
template <class Scalar, class Ordinal, class Node>
Teuchos::RCP<Node> DefaultBlockSparseMultiply<Scalar,Ordinal,Node>::getNode() const {
return node_;
}
template <class Scalar, class Ordinal, class Node>
void DefaultBlockSparseMultiply<Scalar,Ordinal,Node>::clear() {
pbuf_vals1D_ = Teuchos::null;
pbuf_rptr_ = Teuchos::null;
pbuf_cptr_ = Teuchos::null;
pbuf_bptr_ = Teuchos::null;
pbuf_bindx_ = Teuchos::null;
pbuf_indx_ = Teuchos::null;
valsInit_ = false;
isPacked_ = false;
isEmpty_ = false;
}
template <class Scalar, class Ordinal, class Node>
template <class DomainScalar, class RangeScalar>
void DefaultBlockSparseMultiply<Scalar,Ordinal,Node>::multiply(
Teuchos::ETransp trans,
RangeScalar alpha,
const MultiVector<DomainScalar,Node> &X,
MultiVector<RangeScalar,Node> &Y) const {
typedef DefaultBlockSparseMultiplyOp1<Scalar,Ordinal,DomainScalar,RangeScalar> Op1;
typedef DefaultBlockSparseMultiplyOp1Transpose<Scalar,Ordinal,DomainScalar,RangeScalar> Op1T;
TEST_FOR_EXCEPTION(valsInit_ == false, std::runtime_error,
Teuchos::typeName(*this) << "::multiply(): operation not fully initialized.");
TEST_FOR_EXCEPT(X.getNumCols() != Y.getNumCols());
ReadyBufferHelper<Node> rbh(node_);
if (isEmpty_ == true) {
// Y <= 0 * X
// <= 0
DefaultArithmetic<MultiVector<RangeScalar,Node> >::Init(Y,Teuchos::ScalarTraits<RangeScalar>::zero());
}
else if (isPacked_ == true) {
if (trans == Teuchos::NO_TRANS) {
Op1 wdp;
rbh.begin();
wdp.alpha = alpha;
wdp.beta = Teuchos::ScalarTraits<RangeScalar>::zero(); // not used
wdp.numBlockRows = numBlockRows_;
wdp.vals = rbh.template addConstBuffer<Scalar>(pbuf_vals1D_);
wdp.rptr = rbh.template addConstBuffer<Ordinal>(pbuf_rptr_);
wdp.cptr = rbh.template addConstBuffer<Ordinal>(pbuf_cptr_);
wdp.bptr = rbh.template addConstBuffer<Ordinal>(pbuf_bptr_);
wdp.bindx= rbh.template addConstBuffer<Ordinal>(pbuf_bindx_);
wdp.indx = rbh.template addConstBuffer<Ordinal>(pbuf_indx_);
wdp.y = rbh.template addNonConstBuffer<RangeScalar>(Y.getValuesNonConst());
wdp.x = rbh.template addConstBuffer<DomainScalar>(X.getValues());
wdp.xstride = X.getStride();
wdp.ystride = Y.getStride();
rbh.end();
const size_t numRHS = X.getNumCols();
node_->template parallel_for<Op1>(0,numBlockRows_*numRHS,wdp);
}
else {
//start by initializing Y = beta*Y
DefaultArithmetic<MultiVector<RangeScalar,Node> >::Init(Y,Teuchos::ScalarTraits<RangeScalar>::zero());
Op1T wdp;
rbh.begin();
wdp.alpha = alpha;
wdp.numBlockRows = numBlockRows_;
wdp.vals = rbh.template addConstBuffer<Scalar>(pbuf_vals1D_);
wdp.rptr = rbh.template addConstBuffer<Ordinal>(pbuf_rptr_);
wdp.cptr = rbh.template addConstBuffer<Ordinal>(pbuf_cptr_);
wdp.bptr = rbh.template addConstBuffer<Ordinal>(pbuf_bptr_);
wdp.bindx= rbh.template addConstBuffer<Ordinal>(pbuf_bindx_);
wdp.indx = rbh.template addConstBuffer<Ordinal>(pbuf_indx_);
wdp.y = rbh.template addNonConstBuffer<RangeScalar>(Y.getValuesNonConst());
wdp.x = rbh.template addConstBuffer<DomainScalar>(X.getValues());
wdp.xstride = X.getStride();
wdp.ystride = Y.getStride();
rbh.end();
const size_t numRHS = X.getNumCols();
node_->template parallel_for<Op1T>(0,numRHS,wdp);
}
}
else {
throw std::runtime_error("DefaultBlockSparseMultiply ERROR, not implemented for non-packed '2D' storage.");
}
}
template <class Scalar, class Ordinal, class Node>
template <class DomainScalar, class RangeScalar>
void DefaultBlockSparseMultiply<Scalar,Ordinal,Node>::multiply(
Teuchos::ETransp trans,
RangeScalar alpha, const MultiVector<DomainScalar,Node> &X,
RangeScalar beta, MultiVector<RangeScalar,Node> &Y) const {
typedef DefaultBlockSparseMultiplyOp1<Scalar,Ordinal,DomainScalar,RangeScalar> Op1;
typedef DefaultBlockSparseMultiplyOp1Transpose<Scalar,Ordinal,DomainScalar,RangeScalar> Op1T;
TEST_FOR_EXCEPTION(valsInit_ == false, std::runtime_error,
Teuchos::typeName(*this) << "::multiply(): operation not fully initialized.");
TEST_FOR_EXCEPT(X.getNumCols() != Y.getNumCols());
ReadyBufferHelper<Node> rbh(node_);
if (isEmpty_ == true) {
// Y <= 0 * X
// <= 0
DefaultArithmetic<MultiVector<RangeScalar,Node> >::Scale(Y,beta);
}
else if (isPacked_ == true) {
if (trans == Teuchos::NO_TRANS) {
Op1 wdp;
rbh.begin();
wdp.alpha = alpha;
wdp.beta = beta;
wdp.numBlockRows = numBlockRows_;
wdp.vals = rbh.template addConstBuffer<Scalar>(pbuf_vals1D_);
wdp.rptr = rbh.template addConstBuffer<Ordinal>(pbuf_rptr_);
wdp.cptr = rbh.template addConstBuffer<Ordinal>(pbuf_cptr_);
wdp.bptr = rbh.template addConstBuffer<Ordinal>(pbuf_bptr_);
wdp.bindx= rbh.template addConstBuffer<Ordinal>(pbuf_bindx_);
wdp.indx = rbh.template addConstBuffer<Ordinal>(pbuf_indx_);
wdp.y = rbh.template addNonConstBuffer<RangeScalar>(Y.getValuesNonConst());
wdp.x = rbh.template addConstBuffer<DomainScalar>(X.getValues());
wdp.xstride = X.getStride();
wdp.ystride = Y.getStride();
rbh.end();
const size_t numRHS = X.getNumCols();
node_->template parallel_for<Op1>(0,numBlockRows_*numRHS,wdp);
}
else {
//start by initializing Y = beta*Y
if (beta == Teuchos::ScalarTraits<RangeScalar>::zero()) {
DefaultArithmetic<MultiVector<RangeScalar,Node> >::Init(Y,Teuchos::ScalarTraits<RangeScalar>::zero());
}
else {
DefaultArithmetic<MultiVector<RangeScalar,Node> >::Scale(Y,beta,Y);
}
Op1T wdp;
rbh.begin();
wdp.alpha = alpha;
wdp.numBlockRows = numBlockRows_;
wdp.vals = rbh.template addConstBuffer<Scalar>(pbuf_vals1D_);
wdp.rptr = rbh.template addConstBuffer<Ordinal>(pbuf_rptr_);
wdp.cptr = rbh.template addConstBuffer<Ordinal>(pbuf_cptr_);
wdp.bptr = rbh.template addConstBuffer<Ordinal>(pbuf_bptr_);
wdp.bindx= rbh.template addConstBuffer<Ordinal>(pbuf_bindx_);
wdp.indx = rbh.template addConstBuffer<Ordinal>(pbuf_indx_);
wdp.y = rbh.template addNonConstBuffer<RangeScalar>(Y.getValuesNonConst());
wdp.x = rbh.template addConstBuffer<DomainScalar>(X.getValues());
wdp.xstride = X.getStride();
wdp.ystride = Y.getStride();
rbh.end();
const size_t numRHS = X.getNumCols();
node_->template parallel_for<Op1T>(0,numRHS,wdp);
}
}
else {
throw std::runtime_error("DefaultBlockSparseMultiply ERROR, not implemented for non-packed '2D' storage.");
}
}
} // namespace Kokkos
#endif /* KOKKOS_DEFAULTSPARSEMULTIPLY_HPP */
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