summaryrefslogtreecommitdiff
diff options
context:
space:
mode:
Diffstat
-rw-r--r--decoder/decoder.cc31
-rw-r--r--decoder/earley_composer.cc4
-rw-r--r--decoder/phrasetable_fst.cc3
-rw-r--r--dpmert/ces.cc3
-rw-r--r--dpmert/lo_test.cc13
-rw-r--r--dpmert/mert_geometry.cc15
-rw-r--r--extools/extract.cc8
-rw-r--r--extools/featurize_grammar.cc6
-rw-r--r--extools/sentence_pair.cc5
-rw-r--r--gi/pf/align-tl.cc2
-rw-r--r--gi/pf/brat.cc2
-rw-r--r--gi/pf/cfg_wfst_composer.cc3
-rw-r--r--gi/pf/condnaive.cc2
-rw-r--r--gi/pf/dpnaive.cc2
-rw-r--r--gi/pf/itg.cc2
-rw-r--r--gi/pf/learn_cfg.cc2
-rw-r--r--gi/pf/pfbrat.cc2
-rw-r--r--gi/pf/pfdist.cc2
-rw-r--r--gi/pf/pfnaive.cc2
-rw-r--r--gi/pf/pyp_lm.cc2
-rw-r--r--mira/kbest_mira.cc19
-rw-r--r--mteval/ns.cc9
-rw-r--r--phrasinator/gibbs_train_plm.cc2
-rw-r--r--phrasinator/gibbs_train_plm.notables.cc2
-rw-r--r--training/mpi_batch_optimize.cc3
-rw-r--r--training/mr_optimize_reduce.cc3
-rw-r--r--training/optimize_test.cc2
-rw-r--r--utils/atools.cc7
28 files changed, 72 insertions, 86 deletions
diff --git a/decoder/decoder.cc b/decoder/decoder.cc
index 69fbaf85..d4f8f06d 100644
--- a/decoder/decoder.cc
+++ b/decoder/decoder.cc
@@ -57,7 +57,6 @@ static const double kMINUS_EPSILON = -1e-6; // don't be too strict
using namespace std;
using namespace std::tr1;
-using boost::shared_ptr;
namespace po = boost::program_options;
static bool verbose_feature_functions=true;
@@ -101,7 +100,7 @@ inline string str(char const* name,po::variables_map const& conf) {
// print just the --long_opt names suitable for bash compgen
inline void print_options(std::ostream &out,po::options_description const& opts) {
- typedef std::vector< shared_ptr<po::option_description> > Ds;
+ typedef std::vector< boost::shared_ptr<po::option_description> > Ds;
Ds const& ds=opts.options();
out << '"';
for (unsigned i=0;i<ds.size();++i) {
@@ -120,13 +119,13 @@ inline bool store_conf(po::variables_map const& conf,std::string const& name,V *
return false;
}
-inline shared_ptr<FeatureFunction> make_ff(string const& ffp,bool verbose_feature_functions,char const* pre="") {
+inline boost::shared_ptr<FeatureFunction> make_ff(string const& ffp,bool verbose_feature_functions,char const* pre="") {
string ff, param;
SplitCommandAndParam(ffp, &ff, &param);
cerr << pre << "feature: " << ff;
if (param.size() > 0) cerr << " (with config parameters '" << param << "')\n";
else cerr << " (no config parameters)\n";
- shared_ptr<FeatureFunction> pf = ff_registry.Create(ff, param);
+ boost::shared_ptr<FeatureFunction> pf = ff_registry.Create(ff, param);
if (!pf) exit(1);
int nbyte=pf->NumBytesContext();
if (verbose_feature_functions)
@@ -135,13 +134,13 @@ inline shared_ptr<FeatureFunction> make_ff(string const& ffp,bool verbose_featur
}
#ifdef FSA_RESCORING
-inline shared_ptr<FsaFeatureFunction> make_fsa_ff(string const& ffp,bool verbose_feature_functions,char const* pre="") {
+inline boost::shared_ptr<FsaFeatureFunction> make_fsa_ff(string const& ffp,bool verbose_feature_functions,char const* pre="") {
string ff, param;
SplitCommandAndParam(ffp, &ff, &param);
cerr << "FSA Feature: " << ff;
if (param.size() > 0) cerr << " (with config parameters '" << param << "')\n";
else cerr << " (no config parameters)\n";
- shared_ptr<FsaFeatureFunction> pf = fsa_ff_registry.Create(ff, param);
+ boost::shared_ptr<FsaFeatureFunction> pf = fsa_ff_registry.Create(ff, param);
if (!pf) exit(1);
if (verbose_feature_functions)
cerr<<"State is "<<pf->state_bytes()<<" bytes for "<<pre<<"feature "<<ffp<<endl;
@@ -156,10 +155,10 @@ inline shared_ptr<FsaFeatureFunction> make_fsa_ff(string const& ffp,bool verbose
// passes are carried over into subsequent passes (where they may have different weights).
struct RescoringPass {
RescoringPass() : fid_summary(), density_prune(), beam_prune() {}
- shared_ptr<ModelSet> models;
- shared_ptr<IntersectionConfiguration> inter_conf;
+ boost::shared_ptr<ModelSet> models;
+ boost::shared_ptr<IntersectionConfiguration> inter_conf;
vector<const FeatureFunction*> ffs;
- shared_ptr<vector<weight_t> > weight_vector;
+ boost::shared_ptr<vector<weight_t> > weight_vector;
int fid_summary; // 0 == no summary feature
double density_prune; // 0 == don't density prune
double beam_prune; // 0 == don't beam prune
@@ -293,15 +292,15 @@ struct DecoderImpl {
po::variables_map& conf;
OracleBleu oracle;
string formalism;
- shared_ptr<Translator> translator;
- shared_ptr<vector<weight_t> > init_weights; // weights used with initial parse
- vector<shared_ptr<FeatureFunction> > pffs;
+ boost::shared_ptr<Translator> translator;
+ boost::shared_ptr<vector<weight_t> > init_weights; // weights used with initial parse
+ vector<boost::shared_ptr<FeatureFunction> > pffs;
#ifdef FSA_RESCORING
CFGOptions cfg_options;
- vector<shared_ptr<FsaFeatureFunction> > fsa_ffs;
+ vector<boost::shared_ptr<FsaFeatureFunction> > fsa_ffs;
vector<string> fsa_names;
#endif
- shared_ptr<RandomNumberGenerator<boost::mt19937> > rng;
+ boost::shared_ptr<RandomNumberGenerator<boost::mt19937> > rng;
int sample_max_trans;
bool aligner_mode;
bool graphviz;
@@ -310,7 +309,7 @@ struct DecoderImpl {
bool kbest;
bool unique_kbest;
bool get_oracle_forest;
- shared_ptr<WriteFile> extract_file;
+ boost::shared_ptr<WriteFile> extract_file;
int combine_size;
int sent_id;
SparseVector<prob_t> acc_vec; // accumulate gradient
@@ -622,7 +621,7 @@ DecoderImpl::DecoderImpl(po::variables_map& conf, int argc, char** argv, istream
}
// set up weight vectors since later phases may reuse weights from earlier phases
- shared_ptr<vector<weight_t> > prev_weights = init_weights;
+ boost::shared_ptr<vector<weight_t> > prev_weights = init_weights;
for (int pass = 0; pass < rescoring_passes.size(); ++pass) {
RescoringPass& rp = rescoring_passes[pass];
if (!rp.weight_vector) {
diff --git a/decoder/earley_composer.cc b/decoder/earley_composer.cc
index b7af801a..385baf8b 100644
--- a/decoder/earley_composer.cc
+++ b/decoder/earley_composer.cc
@@ -16,8 +16,6 @@
#include "tdict.h"
#include "hg.h"
-using boost::shared_ptr;
-namespace po = boost::program_options;
using namespace std;
using namespace std::tr1;
@@ -111,7 +109,7 @@ struct Edge {
const Edge* const active_parent; // back pointer, NULL for PREDICT items
const Edge* const passive_parent; // back pointer, NULL for SCAN and PREDICT items
const TargetPhraseSet* const tps; // translations
- shared_ptr<SparseVector<double> > features; // features from CFG rule
+ boost::shared_ptr<SparseVector<double> > features; // features from CFG rule
bool IsPassive() const {
// when a rule is completed, this value will be set
diff --git a/decoder/phrasetable_fst.cc b/decoder/phrasetable_fst.cc
index f421e941..b3bec86b 100644
--- a/decoder/phrasetable_fst.cc
+++ b/decoder/phrasetable_fst.cc
@@ -9,7 +9,6 @@
#include "filelib.h"
#include "tdict.h"
-using boost::shared_ptr;
using namespace std;
TargetPhraseSet::~TargetPhraseSet() {}
@@ -46,7 +45,7 @@ class TextFSTNode : public FSTNode {
void ClearPassThroughTranslations();
private:
vector<WordID> passthroughs;
- shared_ptr<TargetPhraseSet> data;
+ boost::shared_ptr<TargetPhraseSet> data;
map<WordID, TextFSTNode> ptr;
};
diff --git a/dpmert/ces.cc b/dpmert/ces.cc
index a85454da..c6cb1cdf 100644
--- a/dpmert/ces.cc
+++ b/dpmert/ces.cc
@@ -11,7 +11,6 @@
#include "error_surface.h"
#include "ns.h"
-using boost::shared_ptr;
using namespace std;
const bool minimize_segments = true; // if adjacent segments have equal scores, merge them
@@ -22,7 +21,7 @@ void ComputeErrorSurface(const SegmentEvaluator& ss,
const EvaluationMetric* metric,
const Hypergraph& hg) {
vector<WordID> prev_trans;
- const vector<shared_ptr<MERTPoint> >& ienv = ve.GetSortedSegs();
+ const vector<boost::shared_ptr<MERTPoint> >& ienv = ve.GetSortedSegs();
env->resize(ienv.size());
SufficientStats prev_score; // defaults to 0
int j = 0;
diff --git a/dpmert/lo_test.cc b/dpmert/lo_test.cc
index d9b909b8..5d90aabb 100644
--- a/dpmert/lo_test.cc
+++ b/dpmert/lo_test.cc
@@ -19,7 +19,6 @@
#include "line_optimizer.h"
using namespace std;
-using boost::shared_ptr;
class OptTest : public testing::Test {
protected:
@@ -44,12 +43,12 @@ TEST_F(OptTest, TestCheckNaN) {
}
TEST_F(OptTest,TestConvexHull) {
- shared_ptr<MERTPoint> a1(new MERTPoint(-1, 0));
- shared_ptr<MERTPoint> b1(new MERTPoint(1, 0));
- shared_ptr<MERTPoint> a2(new MERTPoint(-1, 1));
- shared_ptr<MERTPoint> b2(new MERTPoint(1, -1));
- vector<shared_ptr<MERTPoint> > sa; sa.push_back(a1); sa.push_back(b1);
- vector<shared_ptr<MERTPoint> > sb; sb.push_back(a2); sb.push_back(b2);
+ boost::shared_ptr<MERTPoint> a1(new MERTPoint(-1, 0));
+ boost::shared_ptr<MERTPoint> b1(new MERTPoint(1, 0));
+ boost::shared_ptr<MERTPoint> a2(new MERTPoint(-1, 1));
+ boost::shared_ptr<MERTPoint> b2(new MERTPoint(1, -1));
+ vector<boost::shared_ptr<MERTPoint> > sa; sa.push_back(a1); sa.push_back(b1);
+ vector<boost::shared_ptr<MERTPoint> > sb; sb.push_back(a2); sb.push_back(b2);
ConvexHull a(sa);
cerr << a << endl;
ConvexHull b(sb);
diff --git a/dpmert/mert_geometry.cc b/dpmert/mert_geometry.cc
index 81b25af9..d6973658 100644
--- a/dpmert/mert_geometry.cc
+++ b/dpmert/mert_geometry.cc
@@ -4,13 +4,12 @@
#include <limits>
using namespace std;
-using boost::shared_ptr;
ConvexHull::ConvexHull(int i) {
if (i == 0) {
// do nothing - <>
} else if (i == 1) {
- points.push_back(shared_ptr<MERTPoint>(new MERTPoint(0, 0, 0, shared_ptr<MERTPoint>(), shared_ptr<MERTPoint>())));
+ points.push_back(boost::shared_ptr<MERTPoint>(new MERTPoint(0, 0, 0, boost::shared_ptr<MERTPoint>(), boost::shared_ptr<MERTPoint>())));
assert(this->IsMultiplicativeIdentity());
} else {
cerr << "Only can create ConvexHull semiring 0 and 1 with this constructor!\n";
@@ -27,7 +26,7 @@ const ConvexHull ConvexHullWeightFunction::operator()(const Hypergraph::Edge& e)
ostream& operator<<(ostream& os, const ConvexHull& env) {
os << '<';
- const vector<shared_ptr<MERTPoint> >& points = env.GetSortedSegs();
+ const vector<boost::shared_ptr<MERTPoint> >& points = env.GetSortedSegs();
for (int i = 0; i < points.size(); ++i)
os << (i==0 ? "" : "|") << "x=" << points[i]->x << ",b=" << points[i]->b << ",m=" << points[i]->m << ",p1=" << points[i]->p1 << ",p2=" << points[i]->p2;
return os << '>';
@@ -37,7 +36,7 @@ ostream& operator<<(ostream& os, const ConvexHull& env) {
#ifdef ORIGINAL_MERT_IMPLEMENTATION
struct SlopeCompare {
- bool operator() (const shared_ptr<MERTPoint>& a, const shared_ptr<MERTPoint>& b) const {
+ bool operator() (const boost::shared_ptr<MERTPoint>& a, const boost::shared_ptr<MERTPoint>& b) const {
return a->m < b->m;
}
};
@@ -93,7 +92,7 @@ const ConvexHull& ConvexHull::operator*=(const ConvexHull& other) {
if (this->IsEdgeEnvelope()) {
// if (other.size() > 1)
// cerr << *this << " (TIMES) " << other << endl;
- shared_ptr<MERTPoint> edge_parent = points[0];
+ boost::shared_ptr<MERTPoint> edge_parent = points[0];
const double& edge_b = edge_parent->b;
const double& edge_m = edge_parent->m;
points.clear();
@@ -102,13 +101,13 @@ const ConvexHull& ConvexHull::operator*=(const ConvexHull& other) {
const double m = p.m + edge_m;
const double b = p.b + edge_b;
const double& x = p.x; // x's don't change with *
- points.push_back(shared_ptr<MERTPoint>(new MERTPoint(x, m, b, edge_parent, other.points[i])));
+ points.push_back(boost::shared_ptr<MERTPoint>(new MERTPoint(x, m, b, edge_parent, other.points[i])));
assert(points.back()->p1->edge);
}
// if (other.size() > 1)
// cerr << " = " << *this << endl;
} else {
- vector<shared_ptr<MERTPoint> > new_points;
+ vector<boost::shared_ptr<MERTPoint> > new_points;
int this_i = 0;
int other_i = 0;
const int this_size = points.size();
@@ -124,7 +123,7 @@ const ConvexHull& ConvexHull::operator*=(const ConvexHull& other) {
const double m = this_point.m + other_point.m;
const double b = this_point.b + other_point.b;
- new_points.push_back(shared_ptr<MERTPoint>(new MERTPoint(cur_x, m, b, points[this_i], other.points[other_i])));
+ new_points.push_back(boost::shared_ptr<MERTPoint>(new MERTPoint(cur_x, m, b, points[this_i], other.points[other_i])));
int comp = 0;
if (this_next_val < other_next_val) comp = -1; else
if (this_next_val > other_next_val) comp = 1;
diff --git a/extools/extract.cc b/extools/extract.cc
index f6c121b4..49542fed 100644
--- a/extools/extract.cc
+++ b/extools/extract.cc
@@ -131,16 +131,16 @@ lookup_and_append(const map<K, V> &dict, const K &key, V &output)
// phrases if there is more than one annotation.
// TODO: support source annotation
void Extract::AnnotatePhrasesWithCategoryTypes(const WordID default_cat,
- const map< tuple<short,short,short,short>, vector<WordID> > &types,
+ const map< boost::tuple<short,short,short,short>, vector<WordID> > &types,
vector<ParallelSpan>* phrases) {
const int num_unannotated_phrases = phrases->size();
// have to use num_unannotated_phrases since we may grow the vector
for (int i = 0; i < num_unannotated_phrases; ++i) {
ParallelSpan& phrase = (*phrases)[i];
vector<WordID> cats;
- lookup_and_append(types, make_tuple(phrase.i1, phrase.i2, phrase.j1, phrase.j2), cats);
- lookup_and_append(types, make_tuple((short)-1, (short)-1, phrase.j1, phrase.j2), cats);
- lookup_and_append(types, make_tuple(phrase.i1, phrase.i2, (short)-1, (short)-1), cats);
+ lookup_and_append(types, boost::make_tuple(phrase.i1, phrase.i2, phrase.j1, phrase.j2), cats);
+ lookup_and_append(types, boost::make_tuple((short)-1, (short)-1, phrase.j1, phrase.j2), cats);
+ lookup_and_append(types, boost::make_tuple(phrase.i1, phrase.i2, (short)-1, (short)-1), cats);
if (cats.empty() && default_cat != 0) {
cats = vector<WordID>(1, default_cat);
}
diff --git a/extools/featurize_grammar.cc b/extools/featurize_grammar.cc
index ebae9fdc..78175202 100644
--- a/extools/featurize_grammar.cc
+++ b/extools/featurize_grammar.cc
@@ -136,8 +136,8 @@ class FERegistry {
public:
FERegistry() {}
boost::shared_ptr<FeatureExtractor> Create(const std::string& ffname) const {
- map<string, shared_ptr<FEFactoryBase> >::const_iterator it = reg_.find(ffname);
- shared_ptr<FeatureExtractor> res;
+ map<string, boost::shared_ptr<FEFactoryBase> >::const_iterator it = reg_.find(ffname);
+ boost::shared_ptr<FeatureExtractor> res;
if (it == reg_.end()) {
cerr << "I don't know how to create feature " << ffname << endl;
} else {
@@ -147,7 +147,7 @@ class FERegistry {
}
void DisplayList(ostream* out) const {
bool first = true;
- for (map<string, shared_ptr<FEFactoryBase> >::const_iterator it = reg_.begin();
+ for (map<string, boost::shared_ptr<FEFactoryBase> >::const_iterator it = reg_.begin();
it != reg_.end(); ++it) {
if (first) {first=false;} else {*out << ' ';}
*out << it->first;
diff --git a/extools/sentence_pair.cc b/extools/sentence_pair.cc
index d5ebe48f..7d60715a 100644
--- a/extools/sentence_pair.cc
+++ b/extools/sentence_pair.cc
@@ -71,8 +71,7 @@ int AnnotatedParallelSentence::ReadAlignmentPoint(const char* buf,
exit(1);
}
(*b) = 0;
- //TODO: is this what is intended? parses as A && B || C && D.
- while(ch < end && (c == 0 && (!permit_col || (permit_col && buf[ch] != ':')) || c != 0 && buf[ch] != '-')) {
+ while((ch < end) && (c == 0 && (!permit_col || (permit_col && buf[ch] != ':')) || c != 0 && buf[ch] != '-')) {
if ((buf[ch] < '0') || (buf[ch] > '9')) {
cerr << "Alignment point badly formed 4: " << string(buf, start, end-start) << endl << buf << endl << buf[ch] << endl;
exit(1);
@@ -151,7 +150,7 @@ void AnnotatedParallelSentence::ParseSpanLabel(const char* buf, int start, int e
exit(1);
}
// cerr << a << " " << b << " " << string(buf,c,end-c) << endl;
- span_types[make_tuple(a,b,c,d)].push_back(-TD::Convert(string(buf, ch, end-ch)));
+ span_types[boost::make_tuple(a,b,c,d)].push_back(-TD::Convert(string(buf, ch, end-ch)));
}
// INPUT FORMAT
diff --git a/gi/pf/align-tl.cc b/gi/pf/align-tl.cc
index cbe8c6c8..f6608f1d 100644
--- a/gi/pf/align-tl.cc
+++ b/gi/pf/align-tl.cc
@@ -58,7 +58,7 @@ void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
}
}
-shared_ptr<MT19937> prng;
+boost::shared_ptr<MT19937> prng;
struct LexicalAlignment {
unsigned char src_index;
diff --git a/gi/pf/brat.cc b/gi/pf/brat.cc
index c2c52760..832f22cf 100644
--- a/gi/pf/brat.cc
+++ b/gi/pf/brat.cc
@@ -489,7 +489,7 @@ int main(int argc, char** argv) {
cerr << argv[0] << "Please use --model1 to specify model 1 parameters\n";
return 1;
}
- shared_ptr<MT19937> prng;
+ boost::shared_ptr<MT19937> prng;
if (conf.count("random_seed"))
prng.reset(new MT19937(conf["random_seed"].as<uint32_t>()));
else
diff --git a/gi/pf/cfg_wfst_composer.cc b/gi/pf/cfg_wfst_composer.cc
index a31b5be8..20520c81 100644
--- a/gi/pf/cfg_wfst_composer.cc
+++ b/gi/pf/cfg_wfst_composer.cc
@@ -16,7 +16,6 @@
#include "tdict.h"
#include "hg.h"
-using boost::shared_ptr;
namespace po = boost::program_options;
using namespace std;
using namespace std::tr1;
@@ -114,7 +113,7 @@ struct Edge {
const Edge* const active_parent; // back pointer, NULL for PREDICT items
const Edge* const passive_parent; // back pointer, NULL for SCAN and PREDICT items
TRulePtr tps; // translations
- shared_ptr<SparseVector<double> > features; // features from CFG rule
+ boost::shared_ptr<SparseVector<double> > features; // features from CFG rule
bool IsPassive() const {
// when a rule is completed, this value will be set
diff --git a/gi/pf/condnaive.cc b/gi/pf/condnaive.cc
index 3ea88016..419731ac 100644
--- a/gi/pf/condnaive.cc
+++ b/gi/pf/condnaive.cc
@@ -55,7 +55,7 @@ void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
}
}
-shared_ptr<MT19937> prng;
+boost::shared_ptr<MT19937> prng;
struct ModelAndData {
explicit ModelAndData(ConditionalParallelSegementationModel<PhraseConditionalBase>& m, const vector<vector<int> >& ce, const vector<vector<int> >& cf, const set<int>& ve, const set<int>& vf) :
diff --git a/gi/pf/dpnaive.cc b/gi/pf/dpnaive.cc
index 469dff5c..75ccad72 100644
--- a/gi/pf/dpnaive.cc
+++ b/gi/pf/dpnaive.cc
@@ -55,7 +55,7 @@ void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
}
}
-shared_ptr<MT19937> prng;
+boost::shared_ptr<MT19937> prng;
template <typename Base>
struct ModelAndData {
diff --git a/gi/pf/itg.cc b/gi/pf/itg.cc
index a38fe672..29ec3860 100644
--- a/gi/pf/itg.cc
+++ b/gi/pf/itg.cc
@@ -231,7 +231,7 @@ int main(int argc, char** argv) {
cerr << argv[0] << "Please use --model1 to specify model 1 parameters\n";
return 1;
}
- shared_ptr<MT19937> prng;
+ boost::shared_ptr<MT19937> prng;
if (conf.count("random_seed"))
prng.reset(new MT19937(conf["random_seed"].as<uint32_t>()));
else
diff --git a/gi/pf/learn_cfg.cc b/gi/pf/learn_cfg.cc
index ed1772bf..44eaa162 100644
--- a/gi/pf/learn_cfg.cc
+++ b/gi/pf/learn_cfg.cc
@@ -24,7 +24,7 @@ using namespace std;
using namespace tr1;
namespace po = boost::program_options;
-shared_ptr<MT19937> prng;
+boost::shared_ptr<MT19937> prng;
vector<int> nt_vocab;
vector<int> nt_id_to_index;
static unsigned kMAX_RULE_SIZE = 0;
diff --git a/gi/pf/pfbrat.cc b/gi/pf/pfbrat.cc
index c2c52760..832f22cf 100644
--- a/gi/pf/pfbrat.cc
+++ b/gi/pf/pfbrat.cc
@@ -489,7 +489,7 @@ int main(int argc, char** argv) {
cerr << argv[0] << "Please use --model1 to specify model 1 parameters\n";
return 1;
}
- shared_ptr<MT19937> prng;
+ boost::shared_ptr<MT19937> prng;
if (conf.count("random_seed"))
prng.reset(new MT19937(conf["random_seed"].as<uint32_t>()));
else
diff --git a/gi/pf/pfdist.cc b/gi/pf/pfdist.cc
index 3d578db2..a3e46064 100644
--- a/gi/pf/pfdist.cc
+++ b/gi/pf/pfdist.cc
@@ -23,7 +23,7 @@ using namespace std;
using namespace tr1;
namespace po = boost::program_options;
-shared_ptr<MT19937> prng;
+boost::shared_ptr<MT19937> prng;
void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
po::options_description opts("Configuration options");
diff --git a/gi/pf/pfnaive.cc b/gi/pf/pfnaive.cc
index e1a53f5c..958ec4e2 100644
--- a/gi/pf/pfnaive.cc
+++ b/gi/pf/pfnaive.cc
@@ -25,7 +25,7 @@ using namespace std;
using namespace tr1;
namespace po = boost::program_options;
-shared_ptr<MT19937> prng;
+boost::shared_ptr<MT19937> prng;
void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
po::options_description opts("Configuration options");
diff --git a/gi/pf/pyp_lm.cc b/gi/pf/pyp_lm.cc
index 91029688..e2b67e17 100644
--- a/gi/pf/pyp_lm.cc
+++ b/gi/pf/pyp_lm.cc
@@ -25,7 +25,7 @@ using namespace std;
using namespace tr1;
namespace po = boost::program_options;
-shared_ptr<MT19937> prng;
+boost::shared_ptr<MT19937> prng;
void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
po::options_description opts("Configuration options");
diff --git a/mira/kbest_mira.cc b/mira/kbest_mira.cc
index 904eba74..dc0200d6 100644
--- a/mira/kbest_mira.cc
+++ b/mira/kbest_mira.cc
@@ -3,10 +3,10 @@
#include <vector>
#include <cassert>
#include <cmath>
+#include <tr1/memory>
#include "config.h"
-#include <boost/shared_ptr.hpp>
#include <boost/program_options.hpp>
#include <boost/program_options/variables_map.hpp>
@@ -27,11 +27,10 @@
#include "sampler.h"
using namespace std;
-using boost::shared_ptr;
namespace po = boost::program_options;
bool invert_score;
-boost::shared_ptr<MT19937> rng;
+std::tr1::shared_ptr<MT19937> rng;
void RandomPermutation(int len, vector<int>* p_ids) {
vector<int>& ids = *p_ids;
@@ -89,15 +88,15 @@ struct HypothesisInfo {
};
struct GoodBadOracle {
- shared_ptr<HypothesisInfo> good;
- shared_ptr<HypothesisInfo> bad;
+ std::tr1::shared_ptr<HypothesisInfo> good;
+ std::tr1::shared_ptr<HypothesisInfo> bad;
};
struct TrainingObserver : public DecoderObserver {
TrainingObserver(const int k, const DocScorer& d, bool sf, vector<GoodBadOracle>* o) : ds(d), oracles(*o), kbest_size(k), sample_forest(sf) {}
const DocScorer& ds;
vector<GoodBadOracle>& oracles;
- shared_ptr<HypothesisInfo> cur_best;
+ std::tr1::shared_ptr<HypothesisInfo> cur_best;
const int kbest_size;
const bool sample_forest;
@@ -109,16 +108,16 @@ struct TrainingObserver : public DecoderObserver {
UpdateOracles(smeta.GetSentenceID(), *hg);
}
- shared_ptr<HypothesisInfo> MakeHypothesisInfo(const SparseVector<double>& feats, const double score) {
- shared_ptr<HypothesisInfo> h(new HypothesisInfo);
+ std::tr1::shared_ptr<HypothesisInfo> MakeHypothesisInfo(const SparseVector<double>& feats, const double score) {
+ std::tr1::shared_ptr<HypothesisInfo> h(new HypothesisInfo);
h->features = feats;
h->mt_metric = score;
return h;
}
void UpdateOracles(int sent_id, const Hypergraph& forest) {
- shared_ptr<HypothesisInfo>& cur_good = oracles[sent_id].good;
- shared_ptr<HypothesisInfo>& cur_bad = oracles[sent_id].bad;
+ std::tr1::shared_ptr<HypothesisInfo>& cur_good = oracles[sent_id].good;
+ std::tr1::shared_ptr<HypothesisInfo>& cur_bad = oracles[sent_id].bad;
cur_bad.reset(); // TODO get rid of??
if (sample_forest) {
diff --git a/mteval/ns.cc b/mteval/ns.cc
index 788f809a..8d354677 100644
--- a/mteval/ns.cc
+++ b/mteval/ns.cc
@@ -14,7 +14,6 @@
#include "stringlib.h"
using namespace std;
-using boost::shared_ptr;
map<string, EvaluationMetric*> EvaluationMetric::instances_;
@@ -35,8 +34,8 @@ struct DefaultSegmentEvaluator : public SegmentEvaluator {
const EvaluationMetric* em_;
};
-shared_ptr<SegmentEvaluator> EvaluationMetric::CreateSegmentEvaluator(const vector<vector<WordID> >& refs) const {
- return shared_ptr<SegmentEvaluator>(new DefaultSegmentEvaluator(refs, this));
+boost::shared_ptr<SegmentEvaluator> EvaluationMetric::CreateSegmentEvaluator(const vector<vector<WordID> >& refs) const {
+ return boost::shared_ptr<SegmentEvaluator>(new DefaultSegmentEvaluator(refs, this));
}
#define MAX_SS_VECTOR_SIZE 50
@@ -184,8 +183,8 @@ template <unsigned int N = 4u, BleuType BrevityType = IBM>
struct BleuMetric : public EvaluationMetric {
BleuMetric() : EvaluationMetric(BrevityType == IBM ? "IBM_BLEU" : (BrevityType == Koehn ? "KOEHN_BLEU" : "NIST_BLEU")) {}
unsigned SufficientStatisticsVectorSize() const { return N*2 + 2; }
- shared_ptr<SegmentEvaluator> CreateSegmentEvaluator(const vector<vector<WordID> >& refs) const {
- return shared_ptr<SegmentEvaluator>(new BleuSegmentEvaluator<N,BrevityType>(refs, this));
+ boost::shared_ptr<SegmentEvaluator> CreateSegmentEvaluator(const vector<vector<WordID> >& refs) const {
+ return boost::shared_ptr<SegmentEvaluator>(new BleuSegmentEvaluator<N,BrevityType>(refs, this));
}
float ComputeBreakdown(const SufficientStats& stats, float* bp, vector<float>* out) const {
if (out) { out->clear(); }
diff --git a/phrasinator/gibbs_train_plm.cc b/phrasinator/gibbs_train_plm.cc
index 3b99e1b6..86fd7865 100644
--- a/phrasinator/gibbs_train_plm.cc
+++ b/phrasinator/gibbs_train_plm.cc
@@ -269,7 +269,7 @@ struct UniphraseLM {
int main(int argc, char** argv) {
po::variables_map conf;
InitCommandLine(argc, argv, &conf);
- shared_ptr<MT19937> prng;
+ boost::shared_ptr<MT19937> prng;
if (conf.count("random_seed"))
prng.reset(new MT19937(conf["random_seed"].as<uint32_t>()));
else
diff --git a/phrasinator/gibbs_train_plm.notables.cc b/phrasinator/gibbs_train_plm.notables.cc
index 4b431b90..9dca9e8d 100644
--- a/phrasinator/gibbs_train_plm.notables.cc
+++ b/phrasinator/gibbs_train_plm.notables.cc
@@ -293,7 +293,7 @@ struct UniphraseLM {
int main(int argc, char** argv) {
po::variables_map conf;
InitCommandLine(argc, argv, &conf);
- shared_ptr<MT19937> prng;
+ boost::shared_ptr<MT19937> prng;
if (conf.count("random_seed"))
prng.reset(new MT19937(conf["random_seed"].as<uint32_t>()));
else
diff --git a/training/mpi_batch_optimize.cc b/training/mpi_batch_optimize.cc
index 046e921c..9f12dba9 100644
--- a/training/mpi_batch_optimize.cc
+++ b/training/mpi_batch_optimize.cc
@@ -29,7 +29,6 @@ namespace mpi = boost::mpi;
#include "sparse_vector.h"
using namespace std;
-using boost::shared_ptr;
namespace po = boost::program_options;
bool InitCommandLine(int argc, char** argv, po::variables_map* conf) {
@@ -270,7 +269,7 @@ int main(int argc, char** argv) {
}
Weights::InitFromFile(conf["means"].as<string>(), &means);
}
- shared_ptr<BatchOptimizer> o;
+ boost::shared_ptr<BatchOptimizer> o;
if (rank == 0) {
const string omethod = conf["optimization_method"].as<string>();
if (omethod == "rprop")
diff --git a/training/mr_optimize_reduce.cc b/training/mr_optimize_reduce.cc
index 15e28fa1..461e6b5f 100644
--- a/training/mr_optimize_reduce.cc
+++ b/training/mr_optimize_reduce.cc
@@ -15,7 +15,6 @@
#include "sparse_vector.h"
using namespace std;
-using boost::shared_ptr;
namespace po = boost::program_options;
void SanityCheck(const vector<double>& w) {
@@ -102,7 +101,7 @@ int main(int argc, char** argv) {
}
Weights::InitFromFile(conf["means"].as<string>(), &means);
}
- shared_ptr<BatchOptimizer> o;
+ boost::shared_ptr<BatchOptimizer> o;
const string omethod = conf["optimization_method"].as<string>();
if (omethod == "rprop")
o.reset(new RPropOptimizer(num_feats)); // TODO add configuration
diff --git a/training/optimize_test.cc b/training/optimize_test.cc
index fe7ca70f..bff2ca03 100644
--- a/training/optimize_test.cc
+++ b/training/optimize_test.cc
@@ -102,7 +102,7 @@ void TestOnline() {
size_t N = 20;
double C = 1.0;
double eta0 = 0.2;
- shared_ptr<LearningRateSchedule> r(new ExponentialDecayLearningRate(N, eta0, 0.85));
+ std::tr1::shared_ptr<LearningRateSchedule> r(new ExponentialDecayLearningRate(N, eta0, 0.85));
//shared_ptr<LearningRateSchedule> r(new StandardLearningRate(N, eta0));
CumulativeL1OnlineOptimizer opt(r, N, C, std::vector<int>());
assert(r->eta(10) < r->eta(1));
diff --git a/utils/atools.cc b/utils/atools.cc
index c0a91731..ba56dd6c 100644
--- a/utils/atools.cc
+++ b/utils/atools.cc
@@ -12,7 +12,6 @@
namespace po = boost::program_options;
using namespace std;
-using boost::shared_ptr;
struct Command {
virtual ~Command() {}
@@ -348,10 +347,10 @@ int main(int argc, char **argv) {
}
}
if (line1.empty() && !*in1) break;
- shared_ptr<Array2D<bool> > out(new Array2D<bool>);
- shared_ptr<Array2D<bool> > a1 = AlignmentPharaoh::ReadPharaohAlignmentGrid(line1);
+ boost::shared_ptr<Array2D<bool> > out(new Array2D<bool>);
+ boost::shared_ptr<Array2D<bool> > a1 = AlignmentPharaoh::ReadPharaohAlignmentGrid(line1);
if (in2) {
- shared_ptr<Array2D<bool> > a2 = AlignmentPharaoh::ReadPharaohAlignmentGrid(line2);
+ boost::shared_ptr<Array2D<bool> > a2 = AlignmentPharaoh::ReadPharaohAlignmentGrid(line2);
cmd.Apply(*a1, *a2, out.get());
} else {
Array2D<bool> dummy;
generated by cgit v1.2.3 (git 2.39.1) at 2024-11-25 09:09:05 +0000