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[RF] Faster Hesse in RooFit by advertising which params are independent
This reduces the time to run Hesse in the ATLAS Higgs benchmark from 123 s to 92 seconds. Given that some models take hours for this, this is a significant improvement for the user experience. Further improvement is possible by analyzing the computation graph a bit more to find more independent parameters (e.g., the different gammas for stat uncertainties from different bins).
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Original file line number | Diff line number | Diff line change |
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#ifndef RooFit_VariableGroups_h | ||
#define RooFit_VariableGroups_h | ||
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#include <TNamed.h> | ||
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#include <iostream> | ||
#include <unordered_map> | ||
#include <vector> | ||
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class TNamed; | ||
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namespace RooFit { | ||
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struct VariableGroups { | ||
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std::unordered_map<TNamed const*, std::vector<int>> groups; | ||
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inline void print() { | ||
for (auto const& item : groups) { | ||
std::cout << item.first->GetName() << " :"; | ||
for (int n : item.second) { | ||
std::cout << " " << n; | ||
} | ||
std::cout << std::endl; | ||
} | ||
} | ||
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int currentIndex = 0; | ||
}; | ||
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} | ||
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#endif |
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