Project
Loading...
Searching...
No Matches
GPUTPCGMO2Output.cxx
Go to the documentation of this file.
1// Copyright 2019-2020 CERN and copyright holders of ALICE O2.
2// See https://alice-o2.web.cern.ch/copyright for details of the copyright holders.
3// All rights not expressly granted are reserved.
4//
5// This software is distributed under the terms of the GNU General Public
6// License v3 (GPL Version 3), copied verbatim in the file "COPYING".
7//
8// In applying this license CERN does not waive the privileges and immunities
9// granted to it by virtue of its status as an Intergovernmental Organization
10// or submit itself to any jurisdiction.
11
14
15#include "GPUTPCDef.h"
16#include "GPUTPCGMO2Output.h"
17#include "GPUCommonAlgorithm.h"
21#include "TPCFastTransform.h"
23#include "GPUGetConstexpr.h"
24
25#ifndef GPUCA_GPUCODE
28#include "GPUQAHelper.h"
29#endif
30
31using namespace o2::gpu;
32using namespace o2::tpc;
33using namespace o2::tpc::constants;
34
35GPUdi() static constexpr uint8_t getFlagsReject() { return GPUTPCGMMergedTrackHit::flagReject | GPUTPCGMMergedTrackHit::flagHighIncl; }
36GPUdi() static uint32_t getFlagsRequired(const GPUSettingsRec& rec) { return rec.tpc.dropSecondaryLegsInOutput ? gputpcgmmergertypes::attachGoodLeg : gputpcgmmergertypes::attachZero; }
37
38namespace o2::gpu::internal
39{
40
42 GPUd() bool operator()(const GPUTPCGMMerger::tmpSort& a, const GPUTPCGMMerger::tmpSort& b)
43 {
44 return GPUCA_DETERMINISTIC_CODE(a.y != b.y ? a.y > b.y : a.x > b.x, a.y > b.y);
45 }
46};
47
48} // namespace o2::gpu::internal
49
50template <>
51GPUdii() void GPUTPCGMO2Output::Thread<GPUTPCGMO2Output::prepare>(int32_t nBlocks, int32_t nThreads, int32_t iBlock, int32_t iThread, GPUsharedref() GPUSharedMemory& smem, processorType& GPUrestrict() merger)
52{
53 const GPUTPCGMMergedTrack* tracks = merger.MergedTracks();
54 const uint32_t nTracks = merger.NMergedTracks();
55 const GPUTPCGMMergedTrackHit* trackClusters = merger.Clusters();
56 const GPUdEdxInfo* tracksdEdx = merger.MergedTracksdEdx();
57
58 constexpr uint8_t flagsReject = getFlagsReject();
59 const uint32_t flagsRequired = getFlagsRequired(merger.Param().rec);
60 bool cutOnTrackdEdx = merger.Param().par.dodEdx && merger.Param().dodEdxEnabled && merger.Param().rec.tpc.minTrackdEdxMax2Tot > 0.f;
61
62 GPUTPCGMMerger::tmpSort* GPUrestrict() trackSort = merger.TrackSortO2();
63 uint2* GPUrestrict() tmpData = merger.ClusRefTmp();
64 for (uint32_t i = get_global_id(0); i < nTracks; i += get_global_size(0)) {
65 if (!tracks[i].OK()) {
66 continue;
67 }
68 uint32_t nCl = 0;
69 for (uint32_t j = 0; j < tracks[i].NClusters(); j++) {
70 if ((trackClusters[tracks[i].FirstClusterRef() + j].state & flagsReject) || (merger.ClusterAttachment()[trackClusters[tracks[i].FirstClusterRef() + j].num] & flagsRequired) != flagsRequired) {
71 continue;
72 }
73 if (merger.Param().rec.tpc.dropSecondaryLegsInOutput && trackClusters[tracks[i].FirstClusterRef() + j].leg != trackClusters[tracks[i].FirstClusterRef() + tracks[i].NClusters() - 1].leg) {
74 continue;
75 }
76 nCl++;
77 }
78 if (nCl == 0) {
79 continue;
80 }
81 if (merger.Param().rec.tpc.dropSecondaryLegsInOutput && 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
82 continue;
83 }
84 if (merger.Param().rec.tpc.minNClustersFinalTrack != -1 && nCl < (uint32_t)merger.Param().rec.tpc.minNClustersFinalTrack) {
85 continue;
86 }
87 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)) {
88 continue;
89 }
90 uint32_t myId = CAMath::AtomicAdd(&merger.Memory()->nO2Tracks, 1u);
91 tmpData[i] = {nCl, CAMath::AtomicAdd(&merger.Memory()->nO2ClusRefs, nCl + (nCl + 1) / 2)};
92 trackSort[myId] = {i, (merger.Param().par.earlyTpcTransform || tracks[i].CSide()) ? tracks[i].GetParam().GetTZOffset() : -tracks[i].GetParam().GetTZOffset()};
93 }
94}
95
96template <>
97GPUdii() void GPUTPCGMO2Output::Thread<GPUTPCGMO2Output::sort>(int32_t nBlocks, int32_t nThreads, int32_t iBlock, int32_t iThread, GPUsharedref() GPUSharedMemory& smem, processorType& GPUrestrict() merger)
98{
99#ifndef GPUCA_SPECIALIZE_THRUST_SORTS
100 if (iThread == 0 && iBlock == 0) {
101 GPUTPCGMMerger::tmpSort* GPUrestrict() trackSort = merger.TrackSortO2();
102 GPUCommonAlgorithm::sortDeviceDynamic(trackSort, trackSort + merger.Memory()->nO2Tracks, internal::GPUTPCGMO2OutputSort_comp());
103 }
104#endif
105}
106
107template <>
108GPUdii() void GPUTPCGMO2Output::Thread<GPUTPCGMO2Output::output>(int32_t nBlocks, int32_t nThreads, int32_t iBlock, int32_t iThread, GPUsharedref() GPUSharedMemory& smem, processorType& GPUrestrict() merger)
109{
110 constexpr float MinDelta = 0.1f;
111 const GPUTPCGMMergedTrack* tracks = merger.MergedTracks();
112 GPUdEdxInfo* tracksdEdx = merger.MergedTracksdEdx();
113 GPUdEdxInfo* tracksdEdxAlt = merger.MergedTracksdEdxAlt();
114 const int32_t nTracks = merger.NOutputTracksTPCO2();
115 const GPUTPCGMMergedTrackHit* trackClusters = merger.Clusters();
116 constexpr uint8_t flagsReject = getFlagsReject();
117 const uint32_t flagsRequired = getFlagsRequired(merger.Param().rec);
118 TrackTPC* outputTracks = merger.OutputTracksTPCO2();
119 uint32_t* clusRefs = merger.OutputClusRefsTPCO2();
120 const auto& param = merger.Param();
121
122 GPUTPCGMMerger::tmpSort* GPUrestrict() trackSort = merger.TrackSortO2();
123 uint2* GPUrestrict() tmpData = merger.ClusRefTmp();
124 float const SNPThresh = 0.999990f;
125
126 for (int32_t iTmp = get_global_id(0); iTmp < nTracks; iTmp += get_global_size(0)) {
127 TrackTPC oTrack;
128 const int32_t i = trackSort[iTmp].x;
129 auto snpIn = tracks[i].GetParam().GetSinPhi();
130 if (snpIn > SNPThresh) {
131 snpIn = SNPThresh;
132 } else if (snpIn < -SNPThresh) {
133 snpIn = -SNPThresh;
134 }
135 oTrack.set(tracks[i].GetParam().GetX(), tracks[i].GetAlpha(),
136 {tracks[i].GetParam().GetY(), tracks[i].GetParam().GetZ(), snpIn, tracks[i].GetParam().GetDzDs(), tracks[i].GetParam().GetQPt()},
137 {tracks[i].GetParam().GetCov(0),
138 tracks[i].GetParam().GetCov(1), tracks[i].GetParam().GetCov(2),
139 tracks[i].GetParam().GetCov(3), tracks[i].GetParam().GetCov(4), tracks[i].GetParam().GetCov(5),
140 tracks[i].GetParam().GetCov(6), tracks[i].GetParam().GetCov(7), tracks[i].GetParam().GetCov(8), tracks[i].GetParam().GetCov(9),
141 tracks[i].GetParam().GetCov(10), tracks[i].GetParam().GetCov(11), tracks[i].GetParam().GetCov(12), tracks[i].GetParam().GetCov(13), tracks[i].GetParam().GetCov(14)});
142
143 oTrack.setChi2(tracks[i].GetParam().GetChi2());
144 auto& outerPar = tracks[i].OuterParam();
146 if (param.dodEdxEnabled) {
147 oTrack.setdEdx(tracksdEdx[i]);
148 if GPUCA_RTC_CONSTEXPR (GPUCA_GET_CONSTEXPR(param.rec.tpc, dEdxClusterRejectionFlagMask) != GPUCA_GET_CONSTEXPR(param.rec.tpc, dEdxClusterRejectionFlagMaskAlt)) {
149 oTrack.setdEdxAlt(tracksdEdxAlt[i]);
150 } else {
151 oTrack.setdEdxAlt(tracksdEdx[i]);
152 }
153 }
154 }
155
156 auto snpOut = outerPar.P[2];
157 if (snpOut > SNPThresh) {
158 snpOut = SNPThresh;
159 } else if (snpOut < -SNPThresh) {
160 snpOut = -SNPThresh;
161 }
162 oTrack.setOuterParam(o2::track::TrackParCov(
163 outerPar.X, outerPar.alpha,
164 {outerPar.P[0], outerPar.P[1], snpOut, outerPar.P[3], outerPar.P[4]},
165 {outerPar.C[0], outerPar.C[1], outerPar.C[2], outerPar.C[3], outerPar.C[4], outerPar.C[5],
166 outerPar.C[6], outerPar.C[7], outerPar.C[8], outerPar.C[9], outerPar.C[10], outerPar.C[11],
167 outerPar.C[12], outerPar.C[13], outerPar.C[14]}));
168
169 if (param.par.dodEdx && param.dodEdxEnabled && param.rec.tpc.enablePID) {
170 PIDResponse pidResponse{};
171 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);
172 auto pidRemap = merger.Param().rec.tpc.PID_remap[pid];
173 if (pidRemap >= 0) {
174 pid = pidRemap;
175 }
176 oTrack.setPID(pid, true);
177 oTrack.getParamOut().setPID(pid, true);
178 }
179
180 uint32_t nOutCl = tmpData[i].x;
181 uint32_t clBuff = tmpData[i].y;
182 oTrack.setClusterRef(clBuff, nOutCl);
183 uint32_t* clIndArr = &clusRefs[clBuff];
184 uint8_t* sectorIndexArr = reinterpret_cast<uint8_t*>(clIndArr + nOutCl);
185 uint8_t* rowIndexArr = sectorIndexArr + nOutCl;
186
187 uint32_t nOutCl2 = 0;
188 float t1 = 0, t2 = 0;
189 int32_t sector1 = 0, sector2 = 0;
190 const o2::tpc::ClusterNativeAccess* GPUrestrict() clusters = merger.GetConstantMem()->ioPtrs.clustersNative;
191 for (uint32_t j = 0; j < tracks[i].NClusters(); j++) {
192 if ((trackClusters[tracks[i].FirstClusterRef() + j].state & flagsReject) || (merger.ClusterAttachment()[trackClusters[tracks[i].FirstClusterRef() + j].num] & flagsRequired) != flagsRequired) {
193 continue;
194 }
195 if (merger.Param().rec.tpc.dropSecondaryLegsInOutput && trackClusters[tracks[i].FirstClusterRef() + j].leg != trackClusters[tracks[i].FirstClusterRef() + tracks[i].NClusters() - 1].leg) {
196 continue;
197 }
198 int32_t clusterIdGlobal = trackClusters[tracks[i].FirstClusterRef() + j].num;
199 int32_t sector = trackClusters[tracks[i].FirstClusterRef() + j].sector;
200 int32_t globalRow = trackClusters[tracks[i].FirstClusterRef() + j].row;
201 int32_t clusterIdInRow = clusterIdGlobal - clusters->clusterOffset[sector][globalRow];
202 clIndArr[nOutCl2] = clusterIdInRow;
203 sectorIndexArr[nOutCl2] = sector;
204 rowIndexArr[nOutCl2] = globalRow;
205 if (nOutCl2 == 0) {
206 t1 = clusters->clustersLinear[clusterIdGlobal].getTime();
207 sector1 = sector;
208 }
209 if (++nOutCl2 == nOutCl) {
210 t2 = clusters->clustersLinear[clusterIdGlobal].getTime();
211 sector2 = sector;
212 }
213 }
214
215 bool cce = tracks[i].CCE() && ((sector1 < MAXSECTOR / 2) ^ (sector2 < MAXSECTOR / 2));
216 float time0 = 0.f, tFwd = 0.f, tBwd = 0.f;
217 if (merger.Param().par.continuousTracking) {
218 time0 = tracks[i].GetParam().GetTZOffset();
219 if (cce) {
220 bool lastSide = trackClusters[tracks[i].FirstClusterRef()].sector < MAXSECTOR / 2;
221 float delta = 0.f;
222 for (uint32_t iCl = 1; iCl < tracks[i].NClusters(); iCl++) {
223 auto& cacl1 = trackClusters[tracks[i].FirstClusterRef() + iCl];
224 if (lastSide ^ (cacl1.sector < MAXSECTOR / 2)) {
225 auto& cl1 = clusters->clustersLinear[cacl1.num];
226 auto& cl2 = clusters->clustersLinear[trackClusters[tracks[i].FirstClusterRef() + iCl - 1].num];
227 delta = CAMath::Abs(cl1.getTime() - cl2.getTime()) * 0.5f;
228 if (delta < MinDelta) {
229 delta = MinDelta;
230 }
231 break;
232 }
233 }
234 tFwd = tBwd = delta;
235 } else {
236 // estimate max/min time increments which still keep track in the physical limits of the TPC
237 const float tmin = CAMath::Min(t1, t2);
238 const float maxDriftTime = merger.GetConstantMem()->calibObjects.fastTransformHelper->getCorrMap()->getMaxDriftTime(t1 > t2 ? sector1 : sector2);
239 const float clusterT0 = merger.GetConstantMem()->calibObjects.fastTransformHelper->getCorrMap()->getT0();
240 const float tmax = CAMath::Min(tmin + maxDriftTime, CAMath::Max(t1, t2));
241 float delta = 0.f;
242 if (time0 + maxDriftTime < tmax) {
243 delta = tmax - time0 - maxDriftTime;
244 }
245 if (tmin - clusterT0 < time0 + delta) {
246 delta = tmin - clusterT0 - time0;
247 }
248 if (delta != 0.f) {
249 time0 += delta;
250 const float deltaZ = merger.GetConstantMem()->calibObjects.fastTransformHelper->getCorrMap()->convDeltaTimeToDeltaZinTimeFrame(sector2, delta);
251 oTrack.setZ(oTrack.getZ() + deltaZ);
252 }
253 tFwd = tmin - clusterT0 - time0;
254 tBwd = time0 - tmax + maxDriftTime;
255 }
256 }
257 if (tBwd < 0.f) {
258 tBwd = 0.f;
259 }
260 oTrack.setTime0(time0);
261 oTrack.setDeltaTBwd(tBwd);
262 oTrack.setDeltaTFwd(tFwd);
263 if (cce) {
264 oTrack.setHasCSideClusters();
265 oTrack.setHasASideClusters();
266 } else if (tracks[i].CSide()) {
267 oTrack.setHasCSideClusters();
268 } else {
269 oTrack.setHasASideClusters();
270 }
271 outputTracks[iTmp] = oTrack;
272 }
273}
274
275template <>
276GPUdii() void GPUTPCGMO2Output::Thread<GPUTPCGMO2Output::mc>(int32_t nBlocks, int32_t nThreads, int32_t iBlock, int32_t iThread, GPUsharedref() GPUSharedMemory& smem, processorType& GPUrestrict() merger)
277{
278#ifndef GPUCA_GPUCODE
279 const o2::tpc::ClusterNativeAccess* GPUrestrict() clusters = merger.GetConstantMem()->ioPtrs.clustersNative;
280 if (clusters == nullptr || clusters->clustersMCTruth == nullptr) {
281 return;
282 }
283 if (merger.OutputTracksTPCO2MC() == nullptr) {
284 return;
285 }
286
287 auto labelAssigner = GPUTPCTrkLbl(clusters->clustersMCTruth, 0.1f);
288 uint32_t* clusRefs = merger.OutputClusRefsTPCO2();
289 for (uint32_t i = get_global_id(0); i < merger.NOutputTracksTPCO2(); i += get_global_size(0)) {
290 labelAssigner.reset();
291 const auto& trk = merger.OutputTracksTPCO2()[i];
292 for (int32_t j = 0; j < trk.getNClusters(); j++) {
293 uint8_t sectorIndex, rowIndex;
294 uint32_t clusterIndex;
295 trk.getClusterReference(clusRefs, j, sectorIndex, rowIndex, clusterIndex);
296 uint32_t clusterIdGlobal = clusters->clusterOffset[sectorIndex][rowIndex] + clusterIndex;
297 labelAssigner.addLabel(clusterIdGlobal);
298 }
299 merger.OutputTracksTPCO2MC()[i] = labelAssigner.computeLabel();
300 }
301#endif
302}
benchmark::State & state
A const (ready only) version of MCTruthContainer.
Helper class to access correction maps.
int32_t i
#define GPUsharedref()
#define get_global_size(dim)
#define GPUrestrict()
#define get_global_id(dim)
#define GPUCA_RTC_CONSTEXPR
#define GPUCA_DETERMINISTIC_CODE(det, indet)
#define GPUCA_TRACKLET_SELECTOR_MIN_HITS_B5(QPTB5)
#define GPUCA_GET_CONSTEXPR(obj, val)
GPUdii() void GPUTPCGMO2Output
void output(const std::map< std::string, ChannelStat > &channels)
Definition rawdump.cxx:197
uint32_t j
Definition RawData.h:0
uint16_t pid
Definition RawData.h:2
Definition of TPCFastTransform class.
PID response class.
Definition PIDResponse.h:39
GLboolean GLboolean GLboolean b
Definition glcorearb.h:1233
typedef void(APIENTRYP PFNGLCULLFACEPROC)(GLenum mode)
GLenum GLfloat param
Definition glcorearb.h:271
GLboolean GLboolean GLboolean GLboolean a
Definition glcorearb.h:1233
GLuint GLfloat GLfloat GLfloat GLfloat GLfloat GLfloat GLfloat GLfloat GLfloat t1
Definition glcorearb.h:5034
constexpr int MAXSECTOR
Definition Constants.h:28
Global TPC definitions and constants.
Definition SimTraits.h:167
GPUdi() T BetheBlochAleph(T bg
TrackParCovF TrackParCov
Definition Track.h:33
GPUReconstruction * rec
GPUd() bool operator()(const GPUTPCGMMerger
uint32_t x
uint32_t y
std::vector< Cluster > clusters