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SLM-search.cpp
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SLM-search.cpp
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//============================================================================
// Name : SLM.cpp
// Author :
// Version :
// Copyright : Your copyright notice
// Description : Hello World in C, Ansi-style
//============================================================================
#include <stdio.h>
#include <stdlib.h>
#include <tuple>
#include <algorithm>
#include "Logging.h"
#include "ProgramOptions.h"
#include "BackoffStrategies.h"
#include "LanguageModel.h"
#include "FullBackoffStrategy.h"
#include "LimitedBackoffStrategy.h"
#include "ValueInterpolationStrategy.h"
#include "Utils.h"
#include "Timer.h"
class ParamSearcher
{
public:
ParamSearcher(SLM::ValueInterpolationWeights& viw): viw(viw) {}
virtual ~ParamSearcher() {};
double previousPPL = 100000;
double currentPPL = 100000;
double lowestPPL = 100000;
double factor = 1;
unsigned int iterations = 0;
double updatePPL(double ppl)
{
if(ppl > 0)
{ previousPPL = currentPPL;
currentPPL = ppl;
lastIterWasDecrease = (currentPPL < previousPPL);
log.push_back(std::make_pair(viw.toString(), currentPPL));
}
if(previousPPL < currentPPL)
{
//factor *= -1;
//L_V << "Switching factor to " << factor << std::endl;
}
lowestPPL = std::min(lowestPPL, currentPPL);
std::cout << iterations << "\t["<< iterationsSinceChange << "]\t" << viw.toString() << "\t--->\tcurrent: " << currentPPL << "\tprevious: " << previousPPL << "\tlowest: " << lowestPPL << std::endl;
return previousPPL;
}
bool lastIterWasDecrease = false;
unsigned iterationsSinceChange = 0;
SLM::ValueInterpolationWeights& viw;
virtual int updateParam() = 0;
std::vector<std::pair<std::string, double>> log;
};
class GridParamSearcher : public ParamSearcher
{
public:
GridParamSearcher(SLM::ValueInterpolationWeights& viw) : ParamSearcher(viw) {}
virtual ~GridParamSearcher() {}
double increment = 1;
int range = 10;
int min = 1;
bool inRange(double val) const
{
return val < range && val > 0;
}
double getRandom()
{
return rand() % (range-min) + min;
}
int updateParam()
{
++iterations;
if(iterationsSinceChange > 25)
{
best_d = getRandom();
best_cd = getRandom();
best_bcd = getRandom();
best_b_d = getRandom();
best_abcd = getRandom();
best_a_cd = getRandom();
best_ab_d = getRandom();
best_a__d = getRandom();
viw.w_d = getRandom();
viw.w_cd = getRandom();
viw.w_bcd = getRandom();
viw.w_b_d = getRandom();
viw.w_abcd = getRandom();
viw.w_a_cd = getRandom();
viw.w_ab_d = getRandom();
viw.w_a__d = getRandom();
iterationsSinceChange = 0;
}
++iterationsSinceChange;
if(currentParam == 0)
{
if(!inRange(viw.w_d))
{
viw.w_d = best_d;
currentParam = 1;
viw.w_cd = min;
} else
{
if(tempPPL > currentPPL)
{
tempPPL = currentPPL;
best_d = viw.w_d;
iterationsSinceChange=0;
}
viw.w_d += increment*factor;
}
}
if(currentParam == 1)
{
if(!inRange(viw.w_cd))
{
viw.w_cd = best_cd;
currentParam = 2;
viw.w_b_d = min;
} else
{
if(tempPPL > currentPPL)
{
tempPPL = currentPPL;
best_cd = viw.w_cd;
iterationsSinceChange=0;
}
viw.w_cd += increment*factor;
}
}
if(currentParam == 2)
{
if(!inRange(viw.w_b_d))
{
viw.w_b_d = best_b_d;
currentParam = 3;
viw.w_bcd = min;
} else
{
if(tempPPL > currentPPL)
{
tempPPL = currentPPL;
best_b_d = viw.w_b_d;
iterationsSinceChange=0;
}
viw.w_b_d += increment*factor;
}
}
if(currentParam == 3)
{
if(!inRange(viw.w_bcd))
{
viw.w_bcd = best_bcd;
currentParam = 4;
viw.w_a__d = min;
} else
{
if(tempPPL > currentPPL)
{
tempPPL = currentPPL;
best_bcd = viw.w_bcd;
iterationsSinceChange=0;
}
viw.w_bcd += increment*factor;
}
}
if(currentParam == 4)
{
if(!inRange(viw.w_a__d))
{
viw.w_a__d = best_a__d;
currentParam = 5;
viw.w_ab_d = min;
} else
{
if(tempPPL > currentPPL)
{
tempPPL = currentPPL;
best_a__d = viw.w_a__d;
iterationsSinceChange=0;
}
viw.w_a__d += increment*factor;
}
}
if(currentParam == 5)
{
if(!inRange(viw.w_ab_d))
{
viw.w_ab_d = best_ab_d;
currentParam = 6;
viw.w_a_cd = min;
} else
{
if(tempPPL > currentPPL)
{
tempPPL = currentPPL;
best_ab_d = viw.w_ab_d;
iterationsSinceChange=0;
}
viw.w_ab_d += increment*factor;
}
}
if(currentParam == 6)
{
if(!inRange(viw.w_a_cd))
{
viw.w_a_cd = best_a_cd;
currentParam = 7;
viw.w_abcd = min;
} else
{
if(tempPPL > currentPPL)
{
tempPPL = currentPPL;
best_a_cd = viw.w_a_cd;
iterationsSinceChange=0;
}
viw.w_a_cd += increment*factor;
}
}
if(currentParam == 7)
{
if(!inRange(viw.w_abcd))
{
viw.w_abcd = best_abcd;
currentParam = 2;
viw.w_b_d = min;
} else
{
if(tempPPL > currentPPL)
{
tempPPL = currentPPL;
best_abcd = viw.w_abcd;
iterationsSinceChange=0;
}
viw.w_abcd += increment*factor;
}
}
}
int currentParam = 2;
double tempPPL = 100000;
double best_d = 0.1;
double best_cd = 0.1;
double best_bcd = 0.1;
double best_b_d = 0.1;
double best_abcd = 0.1;
double best_a_cd = 0.1;
double best_ab_d = 0.1;
double best_a__d = 0.1;
};
int main(int argc, char** argv) {
SLM::ProgramOptions po(argc, argv);
SLM::LanguageModel lm(po);
SLM::ValueInterpolationWeights viWeights = po.getValues();
SLM::ValueInterpolationStrategy* viStrategy = new SLM::ValueInterpolationStrategy(viWeights);
//SLM::FullBackoffStrategy fbs(lm, po.getTestModelName(), viStrategy);
SLM::LimitedBackoffStrategy fbs(lm, po.getTestModelName(), viStrategy);
fbs.setIgnoreCache(true);
GridParamSearcher gps(viWeights);
int iterations = 0;
std::string inputFile = po.getTestInputFiles().front();
// filePerplexity = pow(2, fileLLH/(fileCount/*-totalOovs*/));
while(true)//iterations++ < 20)
{
L_V << "SLM: Reading " << inputFile << "\n";
std::ifstream file(inputFile);
gps.updatePPL(fbs.perplexityAndNextFile());
gps.updateParam();
std::string retrievedString;
while(std::getline(file, retrievedString))
{
if(po.addSentenceMarkers())
{
retrievedString = "<s> <s> " + retrievedString;
}
fbs.nextLine();
std::vector<std::string> words = whitespaceTokeniser(retrievedString);
for(int i = (4-1); i < words.size(); ++i)
{
std::stringstream contextStream;
contextStream << words[i-(4-1)];
for(int ii = 1; ii < 4 - 1; ++ii)
{
contextStream << " " << words[i-(4-1)+ii];
}
try
{
Pattern context = lm.toPattern(contextStream.str());
Pattern focus = lm.toPattern(words[i]);
L_P << "SLM: [" << lm.toString(context) << "] " << lm.toString(focus) << "\n";
double pr = fbs.prob(context, focus, lm.isOOV(focus));
} catch (const UnknownTokenError &e)
{
std::cerr << "Unknown token error: " << contextStream.str() << " " << words[i] << std::endl;
continue;
}
}
}
}
std::cout << "DONE" << std::endl;
fbs.done();
return EXIT_SUCCESS;
}