ProcMatrix.cc

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// -*- C++ -*-
//
// Package:     MVAComputer
// Class  :     ProcMatrix
//

// Implementation:
//     Variable processor to apply a matrix transformation to the input
//     variables. An n x m matrix applied to n input variables results in
//     m output variables.
//
// Author:      Christophe Saout
// Created:     Sat Apr 24 15:18 CEST 2007
//

#include <cstdlib>

#include "PhysicsTools/MVAComputer/interface/VarProcessor.h"
#include "PhysicsTools/MVAComputer/interface/Calibration.h"

using namespace PhysicsTools;

namespace {  // anonymous

  class ProcMatrix : public VarProcessor {
  public:
    typedef VarProcessor::Registry::Registry<ProcMatrix, Calibration::ProcMatrix> Registry;

    ProcMatrix(const char *name, const Calibration::ProcMatrix *calib, const MVAComputer *computer);
    ~ProcMatrix() override {}

    void configure(ConfIterator iter, unsigned int n) override;
    void eval(ValueIterator iter, unsigned int n) const override;
    std::vector<double> deriv(ValueIterator iter, unsigned int n) const override;

  private:
    class Matrix {
    public:
      inline Matrix(const Calibration::Matrix *calib)
          : rows(calib->rows), cols(calib->columns), coeffs(calib->elements) {}

      inline unsigned int getRows() const { return rows; }
      inline unsigned int getCols() const { return cols; }

      inline double operator()(unsigned int row, unsigned int col) const { return coeffs[row * cols + col]; }

    private:
      unsigned int rows;
      unsigned int cols;
      std::vector<double> coeffs;
    };

    Matrix matrix;
  };

  ProcMatrix::Registry registry("ProcMatrix");

  ProcMatrix::ProcMatrix(const char *name, const Calibration::ProcMatrix *calib, const MVAComputer *computer)
      : VarProcessor(name, calib, computer), matrix(&calib->matrix) {}

  void ProcMatrix::configure(ConfIterator iter, unsigned int n) {
    if (n != matrix.getCols())
      return;

    for (unsigned int col = 0; col < matrix.getCols(); col++)
      iter++(Variable::FLAG_NONE);

    for (unsigned int row = 0; row < matrix.getRows(); row++)
      iter << Variable::FLAG_NONE;
  }

  void ProcMatrix::eval(ValueIterator iter, unsigned int n) const {
    double *sums = (double *)alloca(matrix.getRows() * sizeof(double));
    for (unsigned int row = 0; row < matrix.getRows(); row++)
      sums[row] = 0.0;

    for (unsigned int col = 0; col < matrix.getCols(); col++) {
      double val = *iter++;
      for (unsigned int row = 0; row < matrix.getRows(); row++)
        sums[row] += matrix(row, col) * val;
    }

    for (unsigned int row = 0; row < matrix.getRows(); row++)
      iter(sums[row]);
  }

  std::vector<double> ProcMatrix::deriv(ValueIterator iter, unsigned int n) const {
    std::vector<double> result;
    result.reserve(matrix.getRows() * matrix.getCols());

    for (unsigned int row = 0; row < matrix.getRows(); row++)
      for (unsigned int col = 0; col < matrix.getCols(); col++)
        result.push_back(matrix(row, col));

    return result;
  }

}  // anonymous namespace