forked from AliceO2Group/AliceO2
-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathTimeFrame.h
More file actions
697 lines (610 loc) · 27.2 KB
/
TimeFrame.h
File metadata and controls
697 lines (610 loc) · 27.2 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
636
637
638
639
640
641
642
643
644
645
646
647
648
649
650
651
652
653
654
655
656
657
658
659
660
661
662
663
664
665
666
667
668
669
670
671
672
673
674
675
676
677
678
679
680
681
682
683
684
685
686
687
688
689
690
691
692
693
694
695
696
697
// 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.
///
#ifndef TRACKINGITSU_INCLUDE_TIMEFRAME_H_
#define TRACKINGITSU_INCLUDE_TIMEFRAME_H_
#include <array>
#include <vector>
#include <utility>
#include <algorithm>
#include <numeric>
#include <gsl/gsl>
#include "DataFormatsITS/TrackITS.h"
#include "ITStracking/Cell.h"
#include "ITStracking/Cluster.h"
#include "ITStracking/Configuration.h"
#include "ITStracking/Constants.h"
#include "ITStracking/ClusterLines.h"
#include "ITStracking/Definitions.h"
#include "ITStracking/Road.h"
#include "ITStracking/Tracklet.h"
#include "ITStracking/IndexTableUtils.h"
#include "ITStracking/ExternalAllocator.h"
#include "ITStracking/BoundedAllocator.h"
#include "SimulationDataFormat/MCCompLabel.h"
#include "SimulationDataFormat/MCTruthContainer.h"
#include "ReconstructionDataFormats/Vertex.h"
#include "DetectorsBase/Propagator.h"
namespace o2
{
namespace gpu
{
class GPUChainITS;
}
namespace itsmft
{
class Cluster;
class CompClusterExt;
class TopologyDictionary;
class ROFRecord;
} // namespace itsmft
namespace its
{
namespace gpu
{
template <int>
class TimeFrameGPU;
}
template <int nLayers = 7>
struct TimeFrame {
using IndexTableUtilsN = IndexTableUtils<nLayers>;
using CellSeedN = CellSeed<nLayers>;
friend class gpu::TimeFrameGPU<nLayers>;
TimeFrame() = default;
virtual ~TimeFrame() = default;
const Vertex& getPrimaryVertex(const int ivtx) const { return mPrimaryVertices[ivtx]; }
gsl::span<const Vertex> getPrimaryVertices(int rofId) const;
gsl::span<const Vertex> getPrimaryVertices(int romin, int romax) const;
gsl::span<const std::pair<MCCompLabel, float>> getPrimaryVerticesMCRecInfo(const int rofId) const;
gsl::span<const MCCompLabel> getPrimaryVerticesContributors(const int rofId) const;
gsl::span<const std::array<float, 2>> getPrimaryVerticesXAlpha(int rofId) const;
void fillPrimaryVerticesXandAlpha();
int getPrimaryVerticesNum(int rofId = -1) const;
void addPrimaryVerticesLabels(bounded_vector<std::pair<MCCompLabel, float>>& labels);
void addPrimaryVerticesContributorLabels(bounded_vector<MCCompLabel>& labels);
void addPrimaryVertices(const bounded_vector<Vertex>& vertices, const int iteration);
void addPrimaryVerticesInROF(const bounded_vector<Vertex>& vertices, const int rofId, const int iteration);
void addPrimaryVerticesLabelsInROF(const bounded_vector<std::pair<MCCompLabel, float>>& labels, const int rofId);
void addPrimaryVerticesContributorLabelsInROF(const bounded_vector<MCCompLabel>& labels, const int rofId);
void removePrimaryVerticesInROf(const int rofId);
int loadROFrameData(const o2::itsmft::ROFRecord& rof, gsl::span<const itsmft::Cluster> clusters,
const dataformats::MCTruthContainer<MCCompLabel>* mcLabels = nullptr);
int loadROFrameData(gsl::span<const o2::itsmft::ROFRecord> rofs,
gsl::span<const itsmft::CompClusterExt> clusters,
gsl::span<const unsigned char>::iterator& pattIt,
const itsmft::TopologyDictionary* dict,
const dataformats::MCTruthContainer<MCCompLabel>* mcLabels = nullptr);
void resetROFrameData(size_t nROFs);
void prepareROFrameData(gsl::span<const o2::itsmft::ROFRecord> rofs,
gsl::span<const itsmft::CompClusterExt> clusters);
int getTotalClusters() const;
auto& getTotVertIteration() { return mTotVertPerIteration; }
bool empty() const { return getTotalClusters() == 0; }
int getSortedIndex(int rofId, int layer, int idx) const { return mROFramesClusters[layer][rofId] + idx; }
int getSortedStartIndex(const int rofId, const int layer) const { return mROFramesClusters[layer][rofId]; }
int getNrof() const { return mNrof; }
void resetBeamXY(const float x, const float y, const float w = 0);
void setBeamPosition(const float x, const float y, const float s2, const float base = 50.f, const float systematic = 0.f)
{
isBeamPositionOverridden = true;
resetBeamXY(x, y, s2 / o2::gpu::CAMath::Sqrt(base * base + systematic));
}
float getBeamX() const { return mBeamPos[0]; }
float getBeamY() const { return mBeamPos[1]; }
auto& getMinRs() { return mMinR; }
auto& getMaxRs() { return mMaxR; }
float getMinR(int layer) const { return mMinR[layer]; }
float getMaxR(int layer) const { return mMaxR[layer]; }
float getMSangle(int layer) const { return mMSangles[layer]; }
auto& getMSangles() { return mMSangles; }
float getPhiCut(int layer) const { return mPhiCuts[layer]; }
auto& getPhiCuts() { return mPhiCuts; }
float getPositionResolution(int layer) const { return mPositionResolution[layer]; }
auto& getPositionResolutions() { return mPositionResolution; }
gsl::span<Cluster> getClustersOnLayer(int rofId, int layerId);
gsl::span<const Cluster> getClustersOnLayer(int rofId, int layerId) const;
gsl::span<const Cluster> getClustersPerROFrange(int rofMin, int range, int layerId) const;
gsl::span<const Cluster> getUnsortedClustersOnLayer(int rofId, int layerId) const;
gsl::span<uint8_t> getUsedClustersROF(int rofId, int layerId);
gsl::span<const uint8_t> getUsedClustersROF(int rofId, int layerId) const;
gsl::span<const int> getROFramesClustersPerROFrange(int rofMin, int range, int layerId) const;
gsl::span<const int> getROFrameClusters(int layerId) const;
gsl::span<const int> getNClustersROFrange(int rofMin, int range, int layerId) const;
gsl::span<const int> getIndexTablePerROFrange(int rofMin, int range, int layerId) const;
gsl::span<int> getIndexTable(int rofId, int layerId);
auto& getIndexTableWhole(int layerId) { return mIndexTables[layerId]; }
const auto& getTrackingFrameInfoOnLayer(int layerId) const { return mTrackingFrameInfo[layerId]; }
const TrackingFrameInfo& getClusterTrackingFrameInfo(int layerId, const Cluster& cl) const;
gsl::span<const MCCompLabel> getClusterLabels(int layerId, const Cluster& cl) const { return getClusterLabels(layerId, cl.clusterId); }
gsl::span<const MCCompLabel> getClusterLabels(int layerId, const int clId) const { return mClusterLabels->getLabels(mClusterExternalIndices[layerId][clId]); }
int getClusterExternalIndex(int layerId, const int clId) const { return mClusterExternalIndices[layerId][clId]; }
int getClusterSize(int clusterId) const { return mClusterSize[clusterId]; }
void setClusterSize(bounded_vector<uint8_t>& v) { mClusterSize = std::move(v); }
auto& getTrackletsLabel(int layer) { return mTrackletLabels[layer]; }
auto& getCellsLabel(int layer) { return mCellLabels[layer]; }
bool hasMCinformation() const { return mClusterLabels; }
void initialise(const int iteration, const TrackingParameters& trkParam, const int maxLayers = 7, bool resetVertices = true);
void resetRofPV()
{
deepVectorClear(mPrimaryVertices);
mROFramesPV.resize(1, 0);
mTotVertPerIteration.resize(1);
}
bool isClusterUsed(int layer, int clusterId) const { return mUsedClusters[layer][clusterId]; }
void markUsedCluster(int layer, int clusterId) { mUsedClusters[layer][clusterId] = true; }
gsl::span<unsigned char> getUsedClusters(const int layer);
auto& getTracklets() { return mTracklets; }
auto& getTrackletsLookupTable() { return mTrackletsLookupTable; }
auto& getClusters() { return mClusters; }
auto& getUnsortedClusters() { return mUnsortedClusters; }
int getClusterROF(int iLayer, int iCluster);
auto& getCells() { return mCells; }
auto& getCellsLookupTable() { return mCellsLookupTable; }
auto& getCellsNeighbours() { return mCellsNeighbours; }
auto& getCellsNeighboursLUT() { return mCellsNeighboursLUT; }
auto& getRoads() { return mRoads; }
auto& getTracks(int rofId) { return mTracks[rofId]; }
auto& getTracksLabel(const int rofId) { return mTracksLabel[rofId]; }
auto& getLinesLabel(const int rofId) { return mLinesLabels[rofId]; }
auto& getVerticesMCRecInfo() { return mVerticesMCRecInfo; }
int getNumberOfClusters() const;
virtual int getNumberOfCells() const;
virtual int getNumberOfTracklets() const;
virtual int getNumberOfNeighbours() const;
size_t getNumberOfTracks() const;
size_t getNumberOfUsedClusters() const;
auto getNumberOfExtendedTracks() const { return mNExtendedTracks; }
auto getNumberOfUsedExtendedClusters() const { return mNExtendedUsedClusters; }
/// memory management
void setMemoryPool(std::shared_ptr<BoundedMemoryResource> pool);
auto& getMemoryPool() const noexcept { return mMemoryPool; }
bool checkMemory(unsigned long max) { return getArtefactsMemory() < max; }
unsigned long getArtefactsMemory() const;
void printArtefactsMemory() const;
/// ROF cuts
int getROFCutClusterMult() const { return mCutClusterMult; };
int getROFCutVertexMult() const { return mCutVertexMult; };
int getROFCutAllMult() const { return mCutClusterMult + mCutVertexMult; }
// Vertexer
void computeTrackletsPerROFScans();
void computeTracletsPerClusterScans();
int& getNTrackletsROF(int rofId, int combId) { return mNTrackletsPerROF[combId][rofId]; }
auto& getLines(int rofId) { return mLines[rofId]; }
int getNLinesTotal() const noexcept { return mTotalLines; }
void setNLinesTotal(uint32_t a) noexcept { mTotalLines = a; }
auto& getTrackletClusters(int rofId) { return mTrackletClusters[rofId]; }
gsl::span<const Tracklet> getFoundTracklets(int rofId, int combId) const;
gsl::span<Tracklet> getFoundTracklets(int rofId, int combId);
gsl::span<const MCCompLabel> getLabelsFoundTracklets(int rofId, int combId) const;
gsl::span<int> getNTrackletsCluster(int rofId, int combId);
gsl::span<int> getExclusiveNTrackletsCluster(int rofId, int combId);
uint32_t getTotalTrackletsTF(const int iLayer) { return mTotalTracklets[iLayer]; }
int getTotalClustersPerROFrange(int rofMin, int range, int layerId) const;
std::array<float, 2>& getBeamXY() { return mBeamPos; }
unsigned int& getNoVertexROF() { return mNoVertexROF; }
void insertPastVertex(const Vertex& vertex, const int refROFId);
// \Vertexer
void initialiseRoadLabels();
void setRoadLabel(int i, const unsigned long long& lab, bool fake);
const unsigned long long& getRoadLabel(int i) const { return mRoadLabels[i].first; }
bool isRoadFake(int i) const { return mRoadLabels[i].second; }
void setMultiplicityCutMask(const std::vector<uint8_t>& cutMask) { mMultiplicityCutMask = cutMask; }
void setROFMask(const std::vector<uint8_t>& rofMask) { mROFMask = rofMask; }
void swapMasks() { mMultiplicityCutMask.swap(mROFMask); }
int hasBogusClusters() const { return std::accumulate(mBogusClusters.begin(), mBogusClusters.end(), 0); }
void setBz(float bz) { mBz = bz; }
float getBz() const { return mBz; }
/// State if memory will be externally managed by the GPU framework
ExternalAllocator* mExternalAllocator{nullptr};
std::shared_ptr<BoundedMemoryResource> mExtMemoryPool; // host memory pool managed by the framework
auto getFrameworkAllocator() { return mExternalAllocator; };
void setFrameworkAllocator(ExternalAllocator* ext);
bool hasFrameworkAllocator() const noexcept { return mExternalAllocator != nullptr; }
std::pmr::memory_resource* getMaybeFrameworkHostResource(bool forceHost = false) { return (hasFrameworkAllocator() && !forceHost) ? mExtMemoryPool.get() : mMemoryPool.get(); }
// Propagator
const o2::base::PropagatorImpl<float>* getDevicePropagator() const { return mPropagatorDevice; }
virtual void setDevicePropagator(const o2::base::PropagatorImpl<float>*) {};
template <typename... T>
void addClusterToLayer(int layer, T&&... args);
template <typename... T>
void addTrackingFrameInfoToLayer(int layer, T&&... args);
void addClusterExternalIndexToLayer(int layer, const int idx) { mClusterExternalIndices[layer].push_back(idx); }
/// Debug and printing
void checkTrackletLUTs();
void printROFoffsets();
void printNClsPerROF();
void printVertices();
void printTrackletLUTonLayer(int i);
void printCellLUTonLayer(int i);
void printTrackletLUTs();
void printCellLUTs();
void printSliceInfo(const int, const int);
IndexTableUtilsN mIndexTableUtils;
std::array<bounded_vector<Cluster>, nLayers> mClusters;
std::array<bounded_vector<TrackingFrameInfo>, nLayers> mTrackingFrameInfo;
std::array<bounded_vector<int>, nLayers> mClusterExternalIndices;
std::array<bounded_vector<int>, nLayers> mROFramesClusters;
const dataformats::MCTruthContainer<MCCompLabel>* mClusterLabels = nullptr;
std::array<bounded_vector<int>, 2> mNTrackletsPerCluster;
std::array<bounded_vector<int>, 2> mNTrackletsPerClusterSum;
std::array<bounded_vector<int>, nLayers> mNClustersPerROF;
std::array<bounded_vector<int>, nLayers> mIndexTables;
std::vector<bounded_vector<int>> mTrackletsLookupTable;
std::array<bounded_vector<uint8_t>, nLayers> mUsedClusters;
int mNrof = 0;
int mNExtendedTracks{0};
int mNExtendedUsedClusters{0};
bounded_vector<int> mROFramesPV;
bounded_vector<Vertex> mPrimaryVertices;
std::array<bounded_vector<Cluster>, nLayers> mUnsortedClusters;
std::vector<bounded_vector<Tracklet>> mTracklets;
std::vector<bounded_vector<CellSeedN>> mCells;
bounded_vector<Road<nLayers - 2>> mRoads;
std::vector<bounded_vector<TrackITSExt>> mTracks;
std::vector<bounded_vector<int>> mCellsNeighbours;
std::vector<bounded_vector<int>> mCellsLookupTable;
std::vector<uint8_t> mMultiplicityCutMask;
const o2::base::PropagatorImpl<float>* mPropagatorDevice = nullptr; // Needed only for GPU
virtual void wipe();
// interface
virtual bool isGPU() const noexcept { return false; }
virtual const char* getName() const noexcept { return "CPU"; }
protected:
void prepareClusters(const TrackingParameters& trkParam, const int maxLayers = nLayers);
float mBz = 5.;
unsigned int mNTotalLowPtVertices = 0;
int mBeamPosWeight = 0;
std::array<float, 2> mBeamPos = {0.f, 0.f};
bool isBeamPositionOverridden = false;
std::array<float, nLayers> mMinR;
std::array<float, nLayers> mMaxR;
bounded_vector<float> mMSangles;
bounded_vector<float> mPhiCuts;
bounded_vector<float> mPositionResolution;
bounded_vector<uint8_t> mClusterSize;
std::vector<uint8_t> mROFMask;
bounded_vector<std::array<float, 2>> mPValphaX; /// PV x and alpha for track propagation
std::vector<bounded_vector<MCCompLabel>> mTrackletLabels;
std::vector<bounded_vector<MCCompLabel>> mCellLabels;
std::vector<bounded_vector<int>> mCellsNeighboursLUT;
std::vector<bounded_vector<MCCompLabel>> mTracksLabel;
bounded_vector<int> mBogusClusters; /// keep track of clusters with wild coordinates
bounded_vector<std::pair<unsigned long long, bool>> mRoadLabels;
int mCutClusterMult{-999};
int mCutVertexMult{-999};
// Vertexer
std::vector<bounded_vector<int>> mNTrackletsPerROF;
std::vector<bounded_vector<Line>> mLines;
std::vector<bounded_vector<ClusterLines>> mTrackletClusters;
std::array<bounded_vector<int>, 2> mTrackletsIndexROF;
std::vector<bounded_vector<MCCompLabel>> mLinesLabels;
std::vector<std::pair<MCCompLabel, float>> mVerticesMCRecInfo;
bounded_vector<MCCompLabel> mVerticesContributorLabels;
std::array<uint32_t, 2> mTotalTracklets = {0, 0};
uint32_t mTotalLines = 0;
unsigned int mNoVertexROF = 0;
bounded_vector<int> mTotVertPerIteration;
// \Vertexer
std::shared_ptr<BoundedMemoryResource> mMemoryPool;
};
template <int nLayers>
inline gsl::span<const Vertex> TimeFrame<nLayers>::getPrimaryVertices(int rofId) const
{
if (mPrimaryVertices.empty()) {
return {};
}
const int start = mROFramesPV[rofId];
const int stop_idx = rofId >= mNrof - 1 ? mNrof : rofId + 1;
int delta = mMultiplicityCutMask[rofId] ? mROFramesPV[stop_idx] - start : 0; // return empty span if Rof is excluded
return {&mPrimaryVertices[start], static_cast<gsl::span<const Vertex>::size_type>(delta)};
}
template <int nLayers>
inline gsl::span<const std::pair<MCCompLabel, float>> TimeFrame<nLayers>::getPrimaryVerticesMCRecInfo(const int rofId) const
{
const int start = mROFramesPV[rofId];
const int stop_idx = rofId >= mNrof - 1 ? mNrof : rofId + 1;
int delta = mMultiplicityCutMask[rofId] ? mROFramesPV[stop_idx] - start : 0; // return empty span if Rof is excluded
return {&(mVerticesMCRecInfo[start]), static_cast<gsl::span<const std::pair<MCCompLabel, float>>::size_type>(delta)};
}
template <int nLayers>
inline gsl::span<const MCCompLabel> TimeFrame<nLayers>::getPrimaryVerticesContributors(const int rofId) const
{
// count the number of cont. in rofs before target rof
unsigned int start{0}, delta{0};
const auto& pvsBefore = getPrimaryVertices(0, rofId - 1);
for (const auto& pv : pvsBefore) {
start += pv.getNContributors();
}
const auto& pvsIn = getPrimaryVertices(rofId);
for (const auto& pv : pvsIn) {
delta += pv.getNContributors();
}
return {&(mVerticesContributorLabels[start]), static_cast<gsl::span<const MCCompLabel>::size_type>(delta)};
}
template <int nLayers>
inline gsl::span<const Vertex> TimeFrame<nLayers>::getPrimaryVertices(int romin, int romax) const
{
if (mPrimaryVertices.empty()) {
return {};
}
const int stop_idx = romax >= mNrof - 1 ? mNrof : romax + 1;
return {&mPrimaryVertices[mROFramesPV[romin]], static_cast<gsl::span<const Vertex>::size_type>(mROFramesPV[stop_idx] - mROFramesPV[romin])};
}
template <int nLayers>
inline gsl::span<const std::array<float, 2>> TimeFrame<nLayers>::getPrimaryVerticesXAlpha(int rofId) const
{
const int start = mROFramesPV[rofId];
const int stop_idx = rofId >= mNrof - 1 ? mNrof : rofId + 1;
int delta = mMultiplicityCutMask[rofId] ? mROFramesPV[stop_idx] - start : 0; // return empty span if Rof is excluded
return {&(mPValphaX[start]), static_cast<gsl::span<const std::array<float, 2>>::size_type>(delta)};
}
template <int nLayers>
inline int TimeFrame<nLayers>::getPrimaryVerticesNum(int rofId) const
{
return rofId < 0 ? mPrimaryVertices.size() : mROFramesPV[rofId + 1] - mROFramesPV[rofId];
}
template <int nLayers>
inline void TimeFrame<nLayers>::resetBeamXY(const float x, const float y, const float w)
{
mBeamPos[0] = x;
mBeamPos[1] = y;
mBeamPosWeight = w;
}
template <int nLayers>
inline gsl::span<const int> TimeFrame<nLayers>::getROFrameClusters(int layerId) const
{
return {&mROFramesClusters[layerId][0], static_cast<gsl::span<const int>::size_type>(mROFramesClusters[layerId].size())};
}
template <int nLayers>
inline gsl::span<Cluster> TimeFrame<nLayers>::getClustersOnLayer(int rofId, int layerId)
{
if (rofId < 0 || rofId >= mNrof) {
return {};
}
int startIdx{mROFramesClusters[layerId][rofId]};
return {&mClusters[layerId][startIdx], static_cast<gsl::span<Cluster>::size_type>(mROFramesClusters[layerId][rofId + 1] - startIdx)};
}
template <int nLayers>
inline gsl::span<const Cluster> TimeFrame<nLayers>::getClustersOnLayer(int rofId, int layerId) const
{
if (rofId < 0 || rofId >= mNrof) {
return {};
}
int startIdx{mROFramesClusters[layerId][rofId]};
return {&mClusters[layerId][startIdx], static_cast<gsl::span<const Cluster>::size_type>(mROFramesClusters[layerId][rofId + 1] - startIdx)};
}
template <int nLayers>
inline gsl::span<uint8_t> TimeFrame<nLayers>::getUsedClustersROF(int rofId, int layerId)
{
if (rofId < 0 || rofId >= mNrof) {
return {};
}
int startIdx{mROFramesClusters[layerId][rofId]};
return {&mUsedClusters[layerId][startIdx], static_cast<gsl::span<uint8_t>::size_type>(mROFramesClusters[layerId][rofId + 1] - startIdx)};
}
template <int nLayers>
inline gsl::span<const uint8_t> TimeFrame<nLayers>::getUsedClustersROF(int rofId, int layerId) const
{
if (rofId < 0 || rofId >= mNrof) {
return {};
}
int startIdx{mROFramesClusters[layerId][rofId]};
return {&mUsedClusters[layerId][startIdx], static_cast<gsl::span<const uint8_t>::size_type>(mROFramesClusters[layerId][rofId + 1] - startIdx)};
}
template <int nLayers>
inline gsl::span<const Cluster> TimeFrame<nLayers>::getClustersPerROFrange(int rofMin, int range, int layerId) const
{
if (rofMin < 0 || rofMin >= mNrof) {
return {};
}
int startIdx{mROFramesClusters[layerId][rofMin]}; // First cluster of rofMin
int endIdx{mROFramesClusters[layerId][o2::gpu::CAMath::Min(rofMin + range, mNrof)]};
return {&mClusters[layerId][startIdx], static_cast<gsl::span<Cluster>::size_type>(endIdx - startIdx)};
}
template <int nLayers>
inline gsl::span<const int> TimeFrame<nLayers>::getROFramesClustersPerROFrange(int rofMin, int range, int layerId) const
{
int chkdRange{o2::gpu::CAMath::Min(range, mNrof - rofMin)};
return {&mROFramesClusters[layerId][rofMin], static_cast<gsl::span<int>::size_type>(chkdRange)};
}
template <int nLayers>
inline gsl::span<const int> TimeFrame<nLayers>::getNClustersROFrange(int rofMin, int range, int layerId) const
{
int chkdRange{o2::gpu::CAMath::Min(range, mNrof - rofMin)};
return {&mNClustersPerROF[layerId][rofMin], static_cast<gsl::span<int>::size_type>(chkdRange)};
}
template <int nLayers>
inline int TimeFrame<nLayers>::getTotalClustersPerROFrange(int rofMin, int range, int layerId) const
{
int startIdx{rofMin}; // First cluster of rofMin
int endIdx{o2::gpu::CAMath::Min(rofMin + range, mNrof)};
return mROFramesClusters[layerId][endIdx] - mROFramesClusters[layerId][startIdx];
}
template <int nLayers>
inline gsl::span<const int> TimeFrame<nLayers>::getIndexTablePerROFrange(int rofMin, int range, int layerId) const
{
const int iTableSize{mIndexTableUtils.getNphiBins() * mIndexTableUtils.getNzBins() + 1};
int chkdRange{o2::gpu::CAMath::Min(range, mNrof - rofMin)};
return {&mIndexTables[layerId][rofMin * iTableSize], static_cast<gsl::span<int>::size_type>(chkdRange * iTableSize)};
}
template <int nLayers>
inline int TimeFrame<nLayers>::getClusterROF(int iLayer, int iCluster)
{
return std::lower_bound(mROFramesClusters[iLayer].begin(), mROFramesClusters[iLayer].end(), iCluster + 1) - mROFramesClusters[iLayer].begin() - 1;
}
template <int nLayers>
inline gsl::span<const Cluster> TimeFrame<nLayers>::getUnsortedClustersOnLayer(int rofId, int layerId) const
{
if (rofId < 0 || rofId >= mNrof) {
return {};
}
int startIdx{mROFramesClusters[layerId][rofId]};
return {&mUnsortedClusters[layerId][startIdx], static_cast<gsl::span<Cluster>::size_type>(mROFramesClusters[layerId][rofId + 1] - startIdx)};
}
template <int nLayers>
inline gsl::span<int> TimeFrame<nLayers>::getIndexTable(int rofId, int layer)
{
if (rofId < 0 || rofId >= mNrof) {
return {};
}
const int tableSize = mIndexTableUtils.getNphiBins() * mIndexTableUtils.getNzBins() + 1;
return {&mIndexTables[layer][rofId * tableSize], static_cast<gsl::span<int>::size_type>(tableSize)};
}
template <int nLayers>
template <typename... T>
void TimeFrame<nLayers>::addClusterToLayer(int layer, T&&... values)
{
mUnsortedClusters[layer].emplace_back(std::forward<T>(values)...);
}
template <int nLayers>
template <typename... T>
void TimeFrame<nLayers>::addTrackingFrameInfoToLayer(int layer, T&&... values)
{
mTrackingFrameInfo[layer].emplace_back(std::forward<T>(values)...);
}
template <int nLayers>
inline gsl::span<uint8_t> TimeFrame<nLayers>::getUsedClusters(const int layer)
{
return {&mUsedClusters[layer][0], static_cast<gsl::span<uint8_t>::size_type>(mUsedClusters[layer].size())};
}
template <int nLayers>
inline void TimeFrame<nLayers>::initialiseRoadLabels()
{
mRoadLabels.clear();
mRoadLabels.resize(mRoads.size());
}
template <int nLayers>
inline void TimeFrame<nLayers>::setRoadLabel(int i, const unsigned long long& lab, bool fake)
{
mRoadLabels[i].first = lab;
mRoadLabels[i].second = fake;
}
template <int nLayers>
inline gsl::span<int> TimeFrame<nLayers>::getNTrackletsCluster(int rofId, int combId)
{
if (rofId < 0 || rofId >= mNrof) {
return {};
}
auto startIdx{mROFramesClusters[1][rofId]};
return {&mNTrackletsPerCluster[combId][startIdx], static_cast<gsl::span<int>::size_type>(mROFramesClusters[1][rofId + 1] - startIdx)};
}
template <int nLayers>
inline gsl::span<int> TimeFrame<nLayers>::getExclusiveNTrackletsCluster(int rofId, int combId)
{
if (rofId < 0 || rofId >= mNrof) {
return {};
}
auto clusStartIdx{mROFramesClusters[1][rofId]};
return {&mNTrackletsPerClusterSum[combId][clusStartIdx], static_cast<gsl::span<int>::size_type>(mROFramesClusters[1][rofId + 1] - clusStartIdx)};
}
template <int nLayers>
inline gsl::span<Tracklet> TimeFrame<nLayers>::getFoundTracklets(int rofId, int combId)
{
if (rofId < 0 || rofId >= mNrof || mTracklets[combId].empty()) {
return {};
}
auto startIdx{mNTrackletsPerROF[combId][rofId]};
return {&mTracklets[combId][startIdx], static_cast<gsl::span<Tracklet>::size_type>(mNTrackletsPerROF[combId][rofId + 1] - startIdx)};
}
template <int nLayers>
inline gsl::span<const Tracklet> TimeFrame<nLayers>::getFoundTracklets(int rofId, int combId) const
{
if (rofId < 0 || rofId >= mNrof) {
return {};
}
auto startIdx{mNTrackletsPerROF[combId][rofId]};
return {&mTracklets[combId][startIdx], static_cast<gsl::span<Tracklet>::size_type>(mNTrackletsPerROF[combId][rofId + 1] - startIdx)};
}
template <int nLayers>
inline gsl::span<const MCCompLabel> TimeFrame<nLayers>::getLabelsFoundTracklets(int rofId, int combId) const
{
if (rofId < 0 || rofId >= mNrof || !hasMCinformation()) {
return {};
}
auto startIdx{mNTrackletsPerROF[combId][rofId]};
return {&mTrackletLabels[combId][startIdx], static_cast<gsl::span<Tracklet>::size_type>(mNTrackletsPerROF[combId][rofId + 1] - startIdx)};
}
template <int nLayers>
inline int TimeFrame<nLayers>::getTotalClusters() const
{
size_t totalClusters{0};
for (const auto& clusters : mUnsortedClusters) {
totalClusters += clusters.size();
}
return int(totalClusters);
}
template <int nLayers>
inline int TimeFrame<nLayers>::getNumberOfClusters() const
{
int nClusters = 0;
for (const auto& layer : mClusters) {
nClusters += layer.size();
}
return nClusters;
}
template <int nLayers>
inline int TimeFrame<nLayers>::getNumberOfCells() const
{
int nCells = 0;
for (const auto& layer : mCells) {
nCells += layer.size();
}
return nCells;
}
template <int nLayers>
inline int TimeFrame<nLayers>::getNumberOfTracklets() const
{
int nTracklets = 0;
for (const auto& layer : mTracklets) {
nTracklets += layer.size();
}
return nTracklets;
}
template <int nLayers>
inline int TimeFrame<nLayers>::getNumberOfNeighbours() const
{
int n{0};
for (const auto& l : mCellsNeighbours) {
n += l.size();
}
return n;
}
template <int nLayers>
inline size_t TimeFrame<nLayers>::getNumberOfTracks() const
{
int nTracks = 0;
for (const auto& t : mTracks) {
nTracks += t.size();
}
return nTracks;
}
template <int nLayers>
inline size_t TimeFrame<nLayers>::getNumberOfUsedClusters() const
{
size_t nClusters = 0;
for (const auto& layer : mUsedClusters) {
nClusters += std::count(layer.begin(), layer.end(), true);
}
return nClusters;
}
template <int nLayers>
inline void TimeFrame<nLayers>::insertPastVertex(const Vertex& vertex, const int iteration)
{
int rofId = vertex.getTimeStamp().getTimeStamp();
mPrimaryVertices.insert(mPrimaryVertices.begin() + mROFramesPV[rofId], vertex);
for (int i = rofId + 1; i < mROFramesPV.size(); ++i) {
mROFramesPV[i]++;
}
mTotVertPerIteration[iteration]++;
}
} // namespace its
} // namespace o2
#endif