GPUTPCGMO2Output.cxx

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// Copyright 2019-2020 CERN and copyright holders of ALICE O2.
// See https://alice-o2.web.cern.ch/copyright for details of the copyright holders.
// All rights not expressly granted are reserved.
//
// This software is distributed under the terms of the GNU General Public
// License v3 (GPL Version 3), copied verbatim in the file "COPYING".
//
// In applying this license CERN does not waive the privileges and immunities
// granted to it by virtue of its status as an Intergovernmental Organization
// or submit itself to any jurisdiction.
 
 
#include "GPUTPCDef.h"
#include "GPUTPCGMO2Output.h"
#include "GPUCommonAlgorithm.h"
#include "DataFormatsTPC/TrackTPC.h"
#include "DataFormatsTPC/Constants.h"
#include "DataFormatsTPC/PIDResponse.h"
#include "TPCFastTransform.h"
#include "CorrectionMapsHelper.h"
#include "GPUGetConstexpr.h"
 
#ifndef GPUCA_GPUCODE
#include "SimulationDataFormat/ConstMCTruthContainer.h"
#include "SimulationDataFormat/MCCompLabel.h"
#include "GPUQAHelper.h"
#endif
 
using namespace o2::gpu;
using namespace o2::tpc;
using namespace o2::tpc::constants;
 
GPUdi() static constexpr uint8_t getFlagsReject() { return GPUTPCGMMergedTrackHit::flagReject | GPUTPCGMMergedTrackHit::flagHighIncl; }
 
namespace o2::gpu::internal
{
 
struct GPUTPCGMO2OutputSort_comp {
  GPUd() bool operator()(const GPUTPCGMMerger::tmpSort& a, const GPUTPCGMMerger::tmpSort& b)
  {
    return GPUCA_DETERMINISTIC_CODE(a.y != b.y ? a.y > b.y : a.x > b.x, a.y > b.y);
  }
};
 
} // namespace o2::gpu::internal
 
template <>
GPUdii() void GPUTPCGMO2Output::Thread<GPUTPCGMO2Output::prepare>(int32_t nBlocks, int32_t nThreads, int32_t iBlock, int32_t iThread, GPUsharedref() GPUSharedMemory& smem, processorType& GPUrestrict() merger)
{
  const GPUTPCGMMergedTrack* tracks = merger.MergedTracks();
  const uint32_t nTracks = merger.NMergedTracks();
  const GPUTPCGMMergedTrackHit* trackClusters = merger.Clusters();
  const GPUdEdxInfo* tracksdEdx = merger.MergedTracksdEdx();
 
  constexpr uint8_t flagsReject = getFlagsReject();
  bool cutOnTrackdEdx = merger.Param().par.dodEdx && merger.Param().dodEdxEnabled && merger.Param().rec.tpc.minTrackdEdxMax2Tot > 0.f;
 
  GPUTPCGMMerger::tmpSort* GPUrestrict() trackSort = merger.TrackSortO2();
  uint2* GPUrestrict() tmpData = merger.ClusRefTmp();
  for (uint32_t i = get_global_id(0); i < nTracks; i += get_global_size(0)) {
    if (!tracks[i].OK()) {
      continue;
    }
    if (tracks[i].MergedLooper()) {
      continue;
    }
 
    uint32_t nCl = 0;
    for (uint32_t j = 0; j < tracks[i].NClusters(); j++) {
      if ((trackClusters[tracks[i].FirstClusterRef() + j].state & flagsReject)) {
        continue;
      }
      nCl++;
    }
    if (nCl == 0) {
      continue;
    }
    if (nCl + 2 < GPUCA_TRACKLET_SELECTOR_MIN_HITS_B5(tracks[i].GetParam().GetQPt() * merger.Param().qptB5Scaler)) { // Give 2 hits tolerance in the primary leg, compared to the full fit of the looper
      continue;
    }
    if (merger.Param().rec.tpc.minNClustersFinalTrack != -1 && nCl < (uint32_t)merger.Param().rec.tpc.minNClustersFinalTrack) {
      continue;
    }
    if (cutOnTrackdEdx && (tracksdEdx[i].dEdxMaxTPC < merger.Param().rec.tpc.minTrackdEdxMax || tracksdEdx[i].dEdxMaxTPC < tracksdEdx[i].dEdxTotTPC * merger.Param().rec.tpc.minTrackdEdxMax2Tot) && !(tracksdEdx[i].dEdxMaxTPC == 0 && CAMath::Abs(tracks[i].GetParam().GetDzDs()) > 0.03f)) {
      continue;
    }
    uint32_t myId = CAMath::AtomicAdd(&merger.Memory()->nO2Tracks, 1u);
    tmpData[i] = {nCl, CAMath::AtomicAdd(&merger.Memory()->nO2ClusRefs, nCl + (nCl + 1) / 2)};
    trackSort[myId] = {i, tracks[i].CSide() ? tracks[i].GetParam().GetTOffset() : -tracks[i].GetParam().GetTOffset()};
  }
}
 
template <>
GPUdii() void GPUTPCGMO2Output::Thread<GPUTPCGMO2Output::sort>(int32_t nBlocks, int32_t nThreads, int32_t iBlock, int32_t iThread, GPUsharedref() GPUSharedMemory& smem, processorType& GPUrestrict() merger)
{
#ifndef GPUCA_SPECIALIZE_THRUST_SORTS
  if (iThread == 0 && iBlock == 0) {
    GPUTPCGMMerger::tmpSort* GPUrestrict() trackSort = merger.TrackSortO2();
    GPUCommonAlgorithm::sortDeviceDynamic(trackSort, trackSort + merger.Memory()->nO2Tracks, internal::GPUTPCGMO2OutputSort_comp());
  }
#endif
}
 
template <>
GPUdii() void GPUTPCGMO2Output::Thread<GPUTPCGMO2Output::output>(int32_t nBlocks, int32_t nThreads, int32_t iBlock, int32_t iThread, GPUsharedref() GPUSharedMemory& smem, processorType& GPUrestrict() merger)
{
  constexpr float MinDelta = 0.1f;
  const GPUTPCGMMergedTrack* tracks = merger.MergedTracks();
  GPUdEdxInfo* tracksdEdx = merger.MergedTracksdEdx();
  GPUdEdxInfo* tracksdEdxAlt = merger.MergedTracksdEdxAlt();
  const int32_t nTracks = merger.NOutputTracksTPCO2();
  const GPUTPCGMMergedTrackHit* trackClusters = merger.Clusters();
  constexpr uint8_t flagsReject = getFlagsReject();
  TrackTPC* outputTracks = merger.OutputTracksTPCO2();
  uint32_t* clusRefs = merger.OutputClusRefsTPCO2();
  const auto& param = merger.Param();
 
  GPUTPCGMMerger::tmpSort* GPUrestrict() trackSort = merger.TrackSortO2();
  uint2* GPUrestrict() tmpData = merger.ClusRefTmp();
  float const SNPThresh = 0.999990f;
 
  for (int32_t iTmp = get_global_id(0); iTmp < nTracks; iTmp += get_global_size(0)) {
    TrackTPC oTrack;
    const int32_t i = trackSort[iTmp].x;
    const auto& track = tracks[i];
    auto snpIn = track.GetParam().GetSinPhi();
    if (snpIn > SNPThresh) {
      snpIn = SNPThresh;
    } else if (snpIn < -SNPThresh) {
      snpIn = -SNPThresh;
    }
    oTrack.set(track.GetParam().GetX(), track.GetAlpha(),
               {track.GetParam().GetY(), track.GetParam().GetZ(), snpIn, track.GetParam().GetDzDs(), track.GetParam().GetQPt()},
               {track.GetParam().GetCov(0),
                track.GetParam().GetCov(1), track.GetParam().GetCov(2),
                track.GetParam().GetCov(3), track.GetParam().GetCov(4), track.GetParam().GetCov(5),
                track.GetParam().GetCov(6), track.GetParam().GetCov(7), track.GetParam().GetCov(8), track.GetParam().GetCov(9),
                track.GetParam().GetCov(10), track.GetParam().GetCov(11), track.GetParam().GetCov(12), track.GetParam().GetCov(13), track.GetParam().GetCov(14)});
 
    oTrack.setChi2(track.GetParam().GetChi2());
    auto& outerPar = track.OuterParam();
    if GPUCA_RTC_CONSTEXPR (GPUCA_GET_CONSTEXPR(param.par, dodEdx)) {
      if (param.dodEdxEnabled) {
        oTrack.setdEdx(tracksdEdx[i]);
        if GPUCA_RTC_CONSTEXPR (GPUCA_GET_CONSTEXPR(param.rec.tpc, dEdxClusterRejectionFlagMask) != GPUCA_GET_CONSTEXPR(param.rec.tpc, dEdxClusterRejectionFlagMaskAlt)) {
          oTrack.setdEdxAlt(tracksdEdxAlt[i]);
        } else {
          oTrack.setdEdxAlt(tracksdEdx[i]);
        }
      }
    }
 
    auto snpOut = outerPar.P[2];
    if (snpOut > SNPThresh) {
      snpOut = SNPThresh;
    } else if (snpOut < -SNPThresh) {
      snpOut = -SNPThresh;
    }
    oTrack.setOuterParam(o2::track::TrackParCov(
      outerPar.X, outerPar.alpha,
      {outerPar.P[0], outerPar.P[1], snpOut, outerPar.P[3], outerPar.P[4]},
      {outerPar.C[0], outerPar.C[1], outerPar.C[2], outerPar.C[3], outerPar.C[4], outerPar.C[5],
       outerPar.C[6], outerPar.C[7], outerPar.C[8], outerPar.C[9], outerPar.C[10], outerPar.C[11],
       outerPar.C[12], outerPar.C[13], outerPar.C[14]}));
 
    if (param.par.dodEdx && param.dodEdxEnabled && param.rec.tpc.enablePID) {
      PIDResponse pidResponse{};
      auto pid = pidResponse.getMostProbablePID(oTrack, param.rec.tpc.PID_EKrangeMin, param.rec.tpc.PID_EKrangeMax, param.rec.tpc.PID_EPrangeMin, param.rec.tpc.PID_EPrangeMax, param.rec.tpc.PID_EDrangeMin, param.rec.tpc.PID_EDrangeMax, param.rec.tpc.PID_ETrangeMin, merger.Param().rec.tpc.PID_ETrangeMax, merger.Param().rec.tpc.PID_useNsigma, merger.Param().rec.tpc.PID_sigma);
      auto pidRemap = merger.Param().rec.tpc.PID_remap[pid];
      if (pidRemap >= 0) {
        pid = pidRemap;
      }
      oTrack.setPID(pid, true);
      oTrack.getParamOut().setPID(pid, true);
    }
 
    uint32_t nOutCl = tmpData[i].x;
    uint32_t clBuff = tmpData[i].y;
    oTrack.setClusterRef(clBuff, nOutCl);
    uint32_t* clIndArr = &clusRefs[clBuff];
    uint8_t* sectorIndexArr = reinterpret_cast<uint8_t*>(clIndArr + nOutCl);
    uint8_t* rowIndexArr = sectorIndexArr + nOutCl;
 
    uint32_t nOutCl2 = 0;
    float t1 = 0, t2 = 0;
    int32_t sector1 = 0, sector2 = 0;
    const o2::tpc::ClusterNativeAccess* GPUrestrict() clusters = merger.GetConstantMem()->ioPtrs.clustersNative;
    for (uint32_t j = 0; j < track.NClusters(); j++) {
      if ((trackClusters[track.FirstClusterRef() + j].state & flagsReject)) {
        continue;
      }
      int32_t clusterIdGlobal = trackClusters[track.FirstClusterRef() + j].num;
      int32_t sector = trackClusters[track.FirstClusterRef() + j].sector;
      int32_t globalRow = trackClusters[track.FirstClusterRef() + j].row;
      int32_t clusterIdInRow = clusterIdGlobal - clusters->clusterOffset[sector][globalRow];
      clIndArr[nOutCl2] = clusterIdInRow;
      sectorIndexArr[nOutCl2] = sector;
      rowIndexArr[nOutCl2] = globalRow;
      if (nOutCl2 == 0) {
        t1 = clusters->clustersLinear[clusterIdGlobal].getTime();
        sector1 = sector;
      }
      if (++nOutCl2 == nOutCl) {
        t2 = clusters->clustersLinear[clusterIdGlobal].getTime();
        sector2 = sector;
      }
    }
 
    if (track.PrevSegment() >= 0) {
      const GPUTPCGMMergedTrack* chkTrk = track.GetFirstSegment(tracks, merger.Param().rec.enableCyclicGraphWorkarounds);
      const auto& firstPrevCluster = trackClusters[chkTrk->FirstClusterRef()];
      t1 = clusters->clustersLinear[firstPrevCluster.num].getTime();
      sector1 = firstPrevCluster.sector;
    }
 
    bool cce = track.CCE() && ((sector1 < MAXSECTOR / 2) ^ (sector2 < MAXSECTOR / 2));
    float time0 = 0.f, tFwd = 0.f, tBwd = 0.f;
    if (merger.Param().par.continuousTracking) {
      time0 = track.GetParam().GetTOffset();
      if (cce) {
        bool lastSide = trackClusters[track.FirstClusterRef()].sector < MAXSECTOR / 2;
        float delta = 0.f;
        for (uint32_t iCl = 1; iCl < track.NClusters(); iCl++) {
          auto& cacl1 = trackClusters[track.FirstClusterRef() + iCl];
          if (lastSide ^ (cacl1.sector < MAXSECTOR / 2)) {
            auto& cl1 = clusters->clustersLinear[cacl1.num];
            auto& cl2 = clusters->clustersLinear[trackClusters[track.FirstClusterRef() + iCl - 1].num];
            delta = CAMath::Abs(cl1.getTime() - cl2.getTime()) * 0.5f;
            break;
          }
        }
        if (delta < MinDelta) {
          delta = MinDelta;
        }
        tFwd = tBwd = delta;
      } else {
        // estimate max/min time increments which still keep track in the physical limits of the TPC
        const float tmin = CAMath::Min(t1, t2);
        const float maxDriftTime = merger.GetConstantMem()->calibObjects.fastTransformHelper->getCorrMap()->getMaxDriftTime(t1 > t2 ? sector1 : sector2);
        const float clusterT0 = merger.GetConstantMem()->calibObjects.fastTransformHelper->getCorrMap()->getT0();
        const float tmax = CAMath::Min(tmin + maxDriftTime, CAMath::Max(t1, t2));
        float delta = 0.f;
        if (time0 + maxDriftTime < tmax) {
          delta = tmax - time0 - maxDriftTime;
        }
        if (tmin - clusterT0 < time0 + delta) {
          delta = tmin - clusterT0 - time0;
        }
        if (delta != 0.f) {
          time0 += delta;
          const float deltaZ = merger.GetConstantMem()->calibObjects.fastTransformHelper->getCorrMap()->convDeltaTimeToDeltaZinTimeFrame(sector2, delta);
          oTrack.setZ(oTrack.getZ() + deltaZ);
        }
        tFwd = tmin - clusterT0 - time0;
        tBwd = time0 - tmax + maxDriftTime;
      }
    }
    if (tBwd < 0.f) {
      tBwd = 0.f;
    }
    oTrack.setTime0(time0);
    oTrack.setDeltaTBwd(tBwd);
    oTrack.setDeltaTFwd(tFwd);
    if (cce) {
      oTrack.setHasCSideClusters();
      oTrack.setHasASideClusters();
    } else if (track.CSide()) {
      oTrack.setHasCSideClusters();
    } else {
      oTrack.setHasASideClusters();
    }
    outputTracks[iTmp] = oTrack;
  }
}
 
template <>
GPUdii() void GPUTPCGMO2Output::Thread<GPUTPCGMO2Output::mc>(int32_t nBlocks, int32_t nThreads, int32_t iBlock, int32_t iThread, GPUsharedref() GPUSharedMemory& smem, processorType& GPUrestrict() merger)
{
#ifndef GPUCA_GPUCODE
  const o2::tpc::ClusterNativeAccess* GPUrestrict() clusters = merger.GetConstantMem()->ioPtrs.clustersNative;
  if (clusters == nullptr || clusters->clustersMCTruth == nullptr) {
    return;
  }
  if (merger.OutputTracksTPCO2MC() == nullptr) {
    return;
  }
 
  auto labelAssigner = GPUTPCTrkLbl(clusters->clustersMCTruth, 0.1f);
  uint32_t* clusRefs = merger.OutputClusRefsTPCO2();
  for (uint32_t i = get_global_id(0); i < merger.NOutputTracksTPCO2(); i += get_global_size(0)) {
    labelAssigner.reset();
    const auto& trk = merger.OutputTracksTPCO2()[i];
    for (int32_t j = 0; j < trk.getNClusters(); j++) {
      uint8_t sectorIndex, rowIndex;
      uint32_t clusterIndex;
      trk.getClusterReference(clusRefs, j, sectorIndex, rowIndex, clusterIndex);
      uint32_t clusterIdGlobal = clusters->clusterOffset[sectorIndex][rowIndex] + clusterIndex;
      labelAssigner.addLabel(clusterIdGlobal);
    }
    merger.OutputTracksTPCO2MC()[i] = labelAssigner.computeLabel();
  }
#endif
}