/usr/include/trilinos/ROL_BatchStdVector.hpp is in libtrilinos-rol-dev 12.10.1-3.
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// ************************************************************************
//
// Rapid Optimization Library (ROL) Package
// Copyright (2014) Sandia Corporation
//
// Under terms of Contract DE-AC04-94AL85000, there is a non-exclusive
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#ifndef ROL_BATCHSTDVECTOR_H
#define ROL_BATCHSTDVECTOR_H
#include "ROL_StdVector.hpp"
#include "ROL_BatchManager.hpp"
/** \class ROL::BatchStdVector
\brief Provides the std::vector implementation of the ROL::Vector interface.
*/
namespace ROL {
template <class Real>
class BatchStdVector : public StdVector<Real> {
typedef typename std::vector<Real>::size_type uint;
private:
const Teuchos::RCP<BatchManager<Real> > bman_;
protected:
const Teuchos::RCP<BatchManager<Real> > getBatchManager(void) const {
return bman_;
}
public:
BatchStdVector(const Teuchos::RCP<std::vector<Real> > &vec,
const Teuchos::RCP<BatchManager<Real> > &bman)
: StdVector<Real>(vec), bman_(bman) {}
virtual Real dot(const Vector<Real> &x) const {
const std::vector<Real> &xval = *(Teuchos::dyn_cast<const StdVector<Real> >(x).getVector());
const std::vector<Real> &yval = *(StdVector<Real>::getVector());
uint numMySamples = yval.size();
TEUCHOS_TEST_FOR_EXCEPTION( xval.size() != numMySamples, std::invalid_argument,
"Error: Vectors must have the same dimension." );
Real val(0), sum_val(0);
for (uint i = 0; i < numMySamples; ++i) {
val += xval[i] * yval[i];
}
// Global sum
bman_->sumAll(&val,&sum_val,1);
return sum_val;
}
virtual Teuchos::RCP<Vector<Real> > clone(void) const {
const std::vector<Real> &yval = *(StdVector<Real>::getVector());
uint numMySamples = yval.size();
return Teuchos::rcp(new BatchStdVector(
Teuchos::rcp(new std::vector<Real>(numMySamples)),bman_));
}
int dimension(void) const {
Real dim = (Real)StdVector<Real>::dimension();
Real sum = 0.;
bman_->sumAll(&dim,&sum,1);
return (int)sum;
}
Real reduce(const Elementwise::ReductionOp<Real> &r) const {
const std::vector<Real> &yval = *(StdVector<Real>::getVector());
uint numMySamples = yval.size();
Real result = r.initialValue();
for (uint i = 0; i < numMySamples; i++) {
r.reduce(yval[i],result);
}
// Global sum
Real sum = 0.;
bman_->reduceAll(&result,&sum,r);
return sum;
}
};
} // namespace ROL
#endif
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