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
|
#include <iomanip>
#include <iostream>
#include <string>
#include <vector>
#include <TCanvas.h>
#include <TFile.h>
#include <TH1D.h>
#include <TH2D.h>
#include <TTree.h>
#include <TPaveStats.h>
#include "DataFormats/Common/interface/Wrapper.h"
#include "DataFormats/EcalDigi/interface/EcalDigiCollections.h"
int main(int argc, char* argv[]) {
if (argc < 3) {
std::cout << "run with: ./<exe> <path to input file> <path to output file>\n";
exit(0);
}
// branches to use
edm::Wrapper<EBDigiCollection>*wgpuEB = nullptr, *wcpuEB = nullptr;
edm::Wrapper<EEDigiCollection>*wgpuEE = nullptr, *wcpuEE = nullptr;
std::string inFileName{argv[1]};
std::string outFileName{argv[2]};
// prep output
TFile rfout{outFileName.c_str(), "recreate"};
int const nbins = 400;
float const last = 4096.;
auto hADCEBGPU = new TH1D("hADCEBGPU", "hADCEBGPU", nbins, 0, last);
auto hADCEBCPU = new TH1D("hADCEBCPU", "hADCEBCPU", nbins, 0, last);
auto hADCEEGPU = new TH1D("hADCEEGPU", "hADCEEGPU", nbins, 0, last);
auto hADCEECPU = new TH1D("hADCEECPU", "hADCEECPU", nbins, 0, last);
auto hGainEBGPU = new TH1D("hGainEBGPU", "hGainEBGPU", 4, 0, 4);
auto hGainEBCPU = new TH1D("hGainEBCPU", "hGainEBCPU", 4, 0, 4);
auto hGainEEGPU = new TH1D("hGainEEGPU", "hGainEEGPU", 4, 0, 4);
auto hGainEECPU = new TH1D("hGainEECPU", "hGainEECPU", 4, 0, 4);
auto hADCEBGPUvsCPU = new TH2D("hADCEBGPUvsCPU", "hADCEBGPUvsCPU", nbins, 0, last, nbins, 0, last);
auto hADCEEGPUvsCPU = new TH2D("hADCEEGPUvsCPU", "hADCEEGPUvsCPU", nbins, 0, last, nbins, 0, last);
auto hGainEBGPUvsCPU = new TH2D("hGainEBGPUvsCPU", "hGainEBGPUvsCPU", 4, 0, 4, 4, 0, 4);
auto hGainEEGPUvsCPU = new TH2D("hGainEEGPUvsCPU", "hGainEEGPUvsCPU", 4, 0, 4, 4, 0, 4);
// prep input
TFile rfin{inFileName.c_str()};
TTree* rt = (TTree*)rfin.Get("Events");
rt->SetBranchAddress("EBDigiCollection_ecalCPUDigisProducer_ebDigis_RECO.", &wgpuEB);
rt->SetBranchAddress("EEDigiCollection_ecalCPUDigisProducer_eeDigis_RECO.", &wgpuEE);
rt->SetBranchAddress("EBDigiCollection_ecalDigis_ebDigis_RECO.", &wcpuEB);
rt->SetBranchAddress("EEDigiCollection_ecalDigis_eeDigis_RECO.", &wcpuEE);
// accumulate
auto const nentries = rt->GetEntries();
std::cout << ">>> nentries = " << nentries << std::endl;
for (int ie = 0; ie < nentries; ++ie) {
rt->GetEntry(ie);
auto const ngpuebs = wgpuEB->bareProduct().size();
auto const ncpuebs = wcpuEB->bareProduct().size();
auto const ngpuees = wgpuEE->bareProduct().size();
auto const ncpuees = wcpuEE->bareProduct().size();
if (ngpuebs != ncpuebs or ngpuees != ncpuees) {
std::cerr << "*** mismatch in ndigis: "
<< "ie = " << ie << " ngpuebs = " << ngpuebs << " ncpuebs = " << ncpuebs << " ngpuees = " << ngpuees
<< " ncpuees = " << ncpuees << std::endl;
// this is a must for now
//assert(ngpuebs==ncpuebs);
//assert(ngpuees==ncpuees);
}
// assume identical sizes
auto const& idsgpuEB = wgpuEB->bareProduct().ids();
auto const& datagpuEB = wgpuEB->bareProduct().data();
auto const& idscpuEB = wcpuEB->bareProduct().ids();
auto const& datacpuEB = wcpuEB->bareProduct().data();
for (uint32_t ieb = 0; ieb < ngpuebs; ++ieb) {
auto const& idgpu = idsgpuEB[ieb];
auto iter2idcpu = std::find(idscpuEB.begin(), idscpuEB.end(), idgpu);
// FIXME
assert(idgpu == *iter2idcpu);
auto const ptrdiff = iter2idcpu - idscpuEB.begin();
for (uint32_t s = 0u; s < 10u; s++) {
EcalMGPASample sampleGPU{datagpuEB[ieb * 10 + s]};
EcalMGPASample sampleCPU{datacpuEB[ptrdiff * 10 + s]};
hADCEBGPU->Fill(sampleGPU.adc());
hGainEBGPU->Fill(sampleGPU.gainId());
hADCEBCPU->Fill(sampleCPU.adc());
hGainEBCPU->Fill(sampleCPU.gainId());
hADCEBGPUvsCPU->Fill(sampleCPU.adc(), sampleGPU.adc());
hGainEBGPUvsCPU->Fill(sampleCPU.gainId(), sampleGPU.gainId());
}
}
auto const& idsgpuEE = wgpuEE->bareProduct().ids();
auto const& datagpuEE = wgpuEE->bareProduct().data();
auto const& idscpuEE = wcpuEE->bareProduct().ids();
auto const& datacpuEE = wcpuEE->bareProduct().data();
for (uint32_t iee = 0; iee < ngpuees; ++iee) {
auto const& idgpu = idsgpuEE[iee];
auto iter2idcpu = std::find(idscpuEE.begin(), idscpuEE.end(), idgpu);
// FIXME
assert(idgpu == *iter2idcpu);
// get the digis
auto const ptrdiff = iter2idcpu - idscpuEE.begin();
for (uint32_t s = 0u; s < 10u; s++) {
EcalMGPASample sampleGPU{datagpuEE[iee * 10 + s]};
EcalMGPASample sampleCPU{datacpuEE[ptrdiff * 10 + s]};
hADCEEGPU->Fill(sampleGPU.adc());
hGainEEGPU->Fill(sampleGPU.gainId());
hADCEECPU->Fill(sampleCPU.adc());
hGainEECPU->Fill(sampleCPU.gainId());
hADCEEGPUvsCPU->Fill(sampleCPU.adc(), sampleGPU.adc());
hGainEEGPUvsCPU->Fill(sampleCPU.gainId(), sampleGPU.gainId());
}
}
}
{
TCanvas c{"plots", "plots", 4200, 6200};
c.Divide(2, 4);
c.cd(1);
{
gPad->SetLogy();
hADCEBCPU->SetLineColor(kBlack);
hADCEBCPU->SetLineWidth(1.);
hADCEBCPU->Draw("");
hADCEBGPU->SetLineColor(kBlue);
hADCEBGPU->SetLineWidth(1.);
hADCEBGPU->Draw("sames");
gPad->Update();
auto stats = (TPaveStats*)hADCEBGPU->FindObject("stats");
auto y2 = stats->GetY2NDC();
auto y1 = stats->GetY1NDC();
stats->SetY2NDC(y1);
stats->SetY1NDC(y1 - (y2 - y1));
}
c.cd(2);
{
gPad->SetLogy();
hADCEECPU->SetLineColor(kBlack);
hADCEECPU->SetLineWidth(1.);
hADCEECPU->Draw("");
hADCEEGPU->SetLineColor(kBlue);
hADCEEGPU->SetLineWidth(1.);
hADCEEGPU->Draw("sames");
gPad->Update();
auto stats = (TPaveStats*)hADCEEGPU->FindObject("stats");
auto y2 = stats->GetY2NDC();
auto y1 = stats->GetY1NDC();
stats->SetY2NDC(y1);
stats->SetY1NDC(y1 - (y2 - y1));
}
c.cd(3);
{
gPad->SetLogy();
hGainEBCPU->SetLineColor(kBlack);
hGainEBCPU->SetLineWidth(1.);
hGainEBCPU->Draw("");
hGainEBGPU->SetLineColor(kBlue);
hGainEBGPU->SetLineWidth(1.);
hGainEBGPU->Draw("sames");
gPad->Update();
auto stats = (TPaveStats*)hGainEBGPU->FindObject("stats");
auto y2 = stats->GetY2NDC();
auto y1 = stats->GetY1NDC();
stats->SetY2NDC(y1);
stats->SetY1NDC(y1 - (y2 - y1));
}
c.cd(4);
{
gPad->SetLogy();
hGainEECPU->SetLineColor(kBlack);
hGainEECPU->SetLineWidth(1.);
hGainEECPU->Draw("");
hGainEEGPU->SetLineColor(kBlue);
hGainEEGPU->SetLineWidth(1.);
hGainEEGPU->Draw("sames");
gPad->Update();
auto stats = (TPaveStats*)hGainEEGPU->FindObject("stats");
auto y2 = stats->GetY2NDC();
auto y1 = stats->GetY1NDC();
stats->SetY2NDC(y1);
stats->SetY1NDC(y1 - (y2 - y1));
}
c.cd(5);
hADCEBGPUvsCPU->Draw("colz");
c.cd(6);
hADCEEGPUvsCPU->Draw("colz");
c.cd(7);
hGainEBGPUvsCPU->Draw("colz");
c.cd(8);
hGainEEGPUvsCPU->Draw("colz");
c.SaveAs("plots.pdf");
}
rfin.Close();
rfout.Write();
rfout.Close();
}
|