PtAssignmentNNRegression.cc File Reference

#include "FWCore/MessageLogger/interface/MessageLogger.h"
#include "FWCore/Framework/interface/EventSetup.h"
#include "FWCore/ParameterSet/interface/ParameterSet.h"
#include "DataFormats/MuonDetId/interface/CSCDetId.h"
#include "L1Trigger/L1TMuonOverlapPhase2/interface/PtAssignmentNNRegression.h"
#include <boost/archive/text_oarchive.hpp>
#include <boost/archive/text_iarchive.hpp>
#include <boost/algorithm/string/replace.hpp>
#include <sstream>
#include <fstream>

Go to the source code of this file.

Classes
struct	OmtfHit

Namespaces
	lutNN

Typedefs
typedef LutNetworkFixedPointRegression2Outputs< input_I, input_F, networkInputSize, layer1_lut_I, layer1_lut_F, layer1_neurons, layer1_output_I, layer2_input_I, layer2_lut_I, layer2_lut_F, layer2_neurons, layer3_input_I, layer3_0_inputCnt, layer3_0_lut_I, layer3_0_lut_F, output0_I, output0_F, layer3_1_inputCnt, layer3_1_lut_I, layer3_1_lut_F, output1_I, output1_F >	lutNN::LutNetworkFP

Functions
bool	omtfHitToEventInput (OmtfHit &hit, std::vector< float > &inputs, unsigned int omtfRefLayer, bool print)

Variables
static constexpr int	lutNN::input_F = 4
static constexpr int	lutNN::input_I = 10
static constexpr int	lutNN::layer1_lut_F = 13
static constexpr int	lutNN::layer1_lut_I = 3
static constexpr int	lutNN::layer1_neurons = 16
static constexpr int	lutNN::layer1_output_I = 4
static constexpr int	lutNN::layer2_input_I = 8
static constexpr int	lutNN::layer2_lut_F = 11
static constexpr int	lutNN::layer2_lut_I = 5
static constexpr int	lutNN::layer2_neurons = 9
static constexpr int	lutNN::layer3_0_inputCnt = 8
static constexpr int	lutNN::layer3_0_lut_F = 11
static constexpr int	lutNN::layer3_0_lut_I = 5
static constexpr int	lutNN::layer3_1_inputCnt = 1
static constexpr int	lutNN::layer3_1_lut_F = 11
static constexpr int	lutNN::layer3_1_lut_I = 4
static constexpr int	lutNN::layer3_input_I = 5
static constexpr std::size_t	lutNN::networkInputSize = 18
static constexpr int	lutNN::output0_F = 2
static constexpr int	lutNN::output0_I = 8
static constexpr int	lutNN::output1_F = 0
static constexpr int	lutNN::output1_I = 8

Function Documentation

omtfHitToEventInput()

bool omtfHitToEventInput	(	OmtfHit &	hit,
		std::vector< float > &	inputs,
		unsigned int	omtfRefLayer,
		bool	print
	)

TODO <<<<<<<<<<<<<<<<<<<<<<<<<<<<<

Definition at line 110 of file PtAssignmentNNRegression.cc.

References funct::abs(), TauDecayModes::dec, nano_mu_digi_cff::float, ALPAKA_ACCELERATOR_NAMESPACE::caPixelDoublets::if(), PixelMapPlotter::inputs, createfilelist::int, hltrates_dqm_sourceclient-live_cfg::offset, print(), and hit::z.

Referenced by PtAssignmentNNRegression::getPts().

                                                                                                        {
  float offset = (omtfRefLayer << 7) + 64;

  if (hit.valid) {
    if ((hit.layer == 1 || hit.layer == 3 || hit.layer == 5) && hit.quality < 4)  
      return false;

    int rangeFactor = 2;  //rangeFactor scales the hit.phiDist such that the event->inputs is smaller then 63
    if (hit.layer == 1) {
      rangeFactor = 8;
    }
    /*else if(hit.layer == 8 || hit.layer == 17) {
            rangeFactor = 4;
        }*/
    else if (hit.layer == 3) {
      rangeFactor = 4;
    } else if (hit.layer == 9) {
      rangeFactor = 1;
    }
    /*else {
            rangeFactor = 2;
        }
         */

    rangeFactor *= 2;  //TODO !!!!!!!!!!!!!!!!!!!

    if (std::abs(hit.phiDist) >= (63 * rangeFactor)) {
      edm::LogImportant("OMTFReconstruction")  //<<" muonPt "<<omtfEvent.muonPt<<" omtfPt "<<omtfEvent.omtfPt
          << " RefLayer " << omtfRefLayer << " layer " << int(hit.layer) << " hit.phiDist " << hit.phiDist << " valid "
          << ((short)hit.valid) << " !!!!!!!!!!!!!!!!!!!!!!!!" << endl;
      hit.phiDist = copysign(63 * rangeFactor, hit.phiDist);
    }

    inputs.at(hit.layer) = (float)hit.phiDist / (float)rangeFactor + offset;

    if (inputs.at(hit.layer) >=
        1022)  //the last address i.e. 1023 is reserved for the no-hit value, so interpolation between the 1022 and 1023 has no sense
      inputs.at(hit.layer) = 1022;

    if (print || inputs.at(hit.layer) < 0) {
      edm::LogImportant("OMTFReconstruction")  //<<"rawData "<<hex<<setw(16)<<hit.rawData
          << " layer " << dec << int(hit.layer);
      edm::LogImportant("OMTFReconstruction")
          << " phiDist " << hit.phiDist << " inputVal " << inputs.at(hit.layer) << " hit.z " << int(hit.z) << " valid "
          << ((short)hit.valid) << " quality " << (short)hit.quality << " omtfRefLayer " << omtfRefLayer;
      if (inputs.at(hit.layer) < 0)
        edm::LogImportant("OMTFReconstruction") << " event->inputs.at(hit.layer) < 0 !!!!!!!!!!!!!!!!!" << endl;
      edm::LogImportant("OMTFReconstruction") << endl;
    }

    if (inputs[hit.layer] >= 1024) {  //TODO should be the size of the LUT of the first layer
      edm::LogImportant("OMTFReconstruction") << " event->inputs[hit.layer] >= 1024 !!!!!!!!!!!!!!!!!" << endl;
    }
    return true;
  }

  return false;
}