diff options
-rw-r--r-- | decoder/hg.h | 2 | ||||
-rw-r--r-- | dtrain/dtrain.cc | 21 | ||||
-rw-r--r-- | dtrain/kbestget.h | 8 | ||||
-rw-r--r-- | klm/lm/binary_format.hh | 2 | ||||
-rw-r--r-- | klm/lm/model_test.cc | 8 | ||||
-rw-r--r-- | utils/dict.h | 5 | ||||
-rw-r--r-- | utils/weights.cc | 1 |
7 files changed, 15 insertions, 32 deletions
diff --git a/decoder/hg.h b/decoder/hg.h index 52a18601..f0ddbb76 100644 --- a/decoder/hg.h +++ b/decoder/hg.h @@ -397,8 +397,6 @@ public: template <class V> void Reweight(const V& weights) { for (int i = 0; i < edges_.size(); ++i) { - SparseVector<double> v; - //v.set_value(FD::Convert("use_shell"), 1000); Edge& e = edges_[i]; e.edge_prob_.logeq(e.feature_values_.dot(weights)); } diff --git a/dtrain/dtrain.cc b/dtrain/dtrain.cc index e96b65aa..795c82fd 100644 --- a/dtrain/dtrain.cc +++ b/dtrain/dtrain.cc @@ -188,15 +188,6 @@ main(int argc, char** argv) } - //LogVal<double> a(2.2); - //LogVal<double> b(2.1); - //cout << a << endl; - //cout << log(a) << endl; - //LogVal<double> c = a - b; - //cout << log(c) << endl; - //exit(0); - - for (unsigned t = 0; t < T; t++) // T epochs { @@ -298,7 +289,7 @@ main(int argc, char** argv) // FIXME /*if (verbose) { cout << "[ref: '"; - if (t > 0) cout << ref_ids_buf[ii]; + if (t > 0) cout << ref_ids_buf[ii]; <--- else cout << ref_ids; cout << endl; cout << _p5 << _np << "1best: " << "'" << (*samples)[0].w << "'" << endl; @@ -355,14 +346,16 @@ main(int argc, char** argv) } } - + // DEBUG vector<weight_t> x; lambdas.init_vector(&x); - for (int q = 0; q < x.size(); q++) { - if (x[q] < -10 && x[q] != 0) - cout << FD::Convert(q) << " " << x[q] << endl; + cout << "[" << ii << "]" << endl; + for (int jj = 0; jj < x.size(); jj++) { + if (x[jj] != 0) + cout << FD::Convert(jj) << " " << x[jj] << endl; } cout << " --- " << endl; + // /DEBUG ++ii; diff --git a/dtrain/kbestget.h b/dtrain/kbestget.h index 4aadee7a..98f289eb 100644 --- a/dtrain/kbestget.h +++ b/dtrain/kbestget.h @@ -107,8 +107,10 @@ struct KBestGetter : public HypSampler ScoredHyp h; h.w = d->yield; h.f = d->feature_values; - h.model = d->score; - cout << i << ". "<< h.model << endl; + h.model = d->score.as_float(); + // DEBUG + cout << i+1 << ". "<< h.model << endl; + // /DEBUG h.rank = i; h.score = scorer_->Score(h.w, *ref_, i); s_.push_back(h); @@ -127,7 +129,7 @@ struct KBestGetter : public HypSampler ScoredHyp h; h.w = d->yield; h.f = d->feature_values; - h.model = -1*log(d->score); + h.model = d->score.as_float(); h.rank = i; h.score = scorer_->Score(h.w, *ref_, i); s_.push_back(h); diff --git a/klm/lm/binary_format.hh b/klm/lm/binary_format.hh index a83f6b89..e9df0892 100644 --- a/klm/lm/binary_format.hh +++ b/klm/lm/binary_format.hh @@ -76,8 +76,6 @@ void MatchCheck(ModelType model_type, unsigned int search_version, const Paramet void SeekPastHeader(int fd, const Parameters ¶ms); -void SeekPastHeader(int fd, const Parameters ¶ms); - uint8_t *SetupBinary(const Config &config, const Parameters ¶ms, std::size_t memory_size, Backing &backing); void ComplainAboutARPA(const Config &config, ModelType model_type); diff --git a/klm/lm/model_test.cc b/klm/lm/model_test.cc index 3585d34b..2654071f 100644 --- a/klm/lm/model_test.cc +++ b/klm/lm/model_test.cc @@ -264,14 +264,6 @@ template <class M> void NoUnkCheck(const M &model) { BOOST_CHECK_CLOSE(-100.0, ret.prob, 0.001); } -template <class M> void NoUnkCheck(const M &model) { - WordIndex unk_index = 0; - State state; - - FullScoreReturn ret = model.FullScoreForgotState(&unk_index, &unk_index + 1, unk_index, state); - BOOST_CHECK_CLOSE(-100.0, ret.prob, 0.001); -} - template <class M> void Everything(const M &m) { Starters(m); Continuation(m); diff --git a/utils/dict.h b/utils/dict.h index 33cca6cf..a3400868 100644 --- a/utils/dict.h +++ b/utils/dict.h @@ -1,7 +1,6 @@ #ifndef DICT_H_ #define DICT_H_ -#include <iostream> #include <cassert> #include <cstring> @@ -73,8 +72,8 @@ class Dict { inline const std::string& Convert(const WordID& id) const { if (id == 0) return b0_; - //assert(id <= (int)words_.size()); - if (id < 0 || id > (int)words_.size()) return b0_; + assert(id <= (int)words_.size()); + //if (id < 0 || id > (int)words_.size()) return b0_; return words_[id-1]; } diff --git a/utils/weights.cc b/utils/weights.cc index f1406cbf..ac407dfb 100644 --- a/utils/weights.cc +++ b/utils/weights.cc @@ -154,3 +154,4 @@ void Weights::ShowLargestFeatures(const vector<weight_t>& w) { cerr << endl; } + |