mirror of
https://github.com/moses-smt/mosesdecoder.git
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109 lines
3.3 KiB
C++
109 lines
3.3 KiB
C++
/***********************************************************************
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Moses - factored phrase-based language decoder
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Copyright (C) 2015- University of Edinburgh
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This library is free software; you can redistribute it and/or
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modify it under the terms of the GNU Lesser General Public
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License as published by the Free Software Foundation; either
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version 2.1 of the License, or (at your option) any later version.
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This library is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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Lesser General Public License for more details.
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You should have received a copy of the GNU Lesser General Public
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License along with this library; if not, write to the Free Software
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Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
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***********************************************************************/
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/**
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* Used to test that hypergraph decoding works correctly.
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**/
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#include <iostream>
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#include <boost/program_options.hpp>
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#include <boost/scoped_ptr.hpp>
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#include "HopeFearDecoder.h"
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using namespace std;
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using namespace MosesTuning;
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namespace po = boost::program_options;
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int main(int argc, char** argv)
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{
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bool help;
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string denseInitFile;
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string sparseInitFile;
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string hypergraphFile;
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size_t edgeCount = 500;
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po::options_description desc("Allowed options");
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desc.add_options()
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("help,h", po::value(&help)->zero_tokens()->default_value(false), "Print this help message and exit")
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("dense-init,d", po::value<string>(&denseInitFile), "Weight file for dense features.")
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("sparse-init,s", po::value<string>(&sparseInitFile), "Weight file for sparse features")
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("hypergraph,g", po::value<string>(&hypergraphFile), "File containing compressed hypergraph")
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;
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po::options_description cmdline_options;
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cmdline_options.add(desc);
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po::variables_map vm;
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po::store(po::command_line_parser(argc,argv).
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options(cmdline_options).run(), vm);
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po::notify(vm);
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if (help) {
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cout << "Usage: " + string(argv[0]) + " [options]" << endl;
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cout << desc << endl;
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exit(0);
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}
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if (hypergraphFile.empty()) {
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cerr << "Error: missing hypergraph file" << endl;
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exit(1);
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}
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Vocab vocab;
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//Add dummy reference
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ReferenceSet references;
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references.AddLine(0,"blah blah blah", vocab);
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//Load weights
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pair<MiraWeightVector*, size_t> ret = InitialiseWeights(denseInitFile, sparseInitFile, "hypergraph", true);
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boost::scoped_ptr<MiraWeightVector> wv(ret.first);
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size_t initDenseSize = ret.second;
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SparseVector weights;
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wv->ToSparse(&weights, initDenseSize);
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//Load hypergraph
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Graph graph(vocab);
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util::scoped_fd fd(util::OpenReadOrThrow(hypergraphFile.c_str()));
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util::FilePiece file(fd.release());
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ReadGraph(file,graph);
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boost::shared_ptr<Graph> prunedGraph;
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prunedGraph.reset(new Graph(vocab));
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graph.Prune(prunedGraph.get(), weights, edgeCount);
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vector<ValType> bg(9);
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HgHypothesis bestHypo;
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//best hypothesis
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Viterbi(*prunedGraph, weights, 0, references, 0, bg, &bestHypo);
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for (size_t i = 0; i < bestHypo.text.size(); ++i) {
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cout << bestHypo.text[i]->first << " ";
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}
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cout << endl;
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//write weights
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cerr << "WEIGHTS ";
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bestHypo.featureVector.write(cerr, "=");
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cerr << endl;
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}
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