diff options
| -rw-r--r-- | dpmert/lo_test.cc | 2 | ||||
| -rw-r--r-- | training/cllh_observer.cc | 2 | ||||
| -rw-r--r-- | training/collapse_weights.cc | 2 | ||||
| -rw-r--r-- | training/mpi_batch_optimize.cc | 2 | ||||
| -rw-r--r-- | training/mpi_online_optimize.cc | 4 | ||||
| -rw-r--r-- | training/mr_optimize_reduce.cc | 4 |
6 files changed, 8 insertions, 8 deletions
diff --git a/dpmert/lo_test.cc b/dpmert/lo_test.cc index 2daf87bb..95a08d3d 100644 --- a/dpmert/lo_test.cc +++ b/dpmert/lo_test.cc @@ -36,7 +36,7 @@ BOOST_AUTO_TEST_CASE( TestCheckNaN) { double x = 0; double y = 0; double z = x / y; - BOOST_CHECK_EQUAL(true, isnan(z)); + BOOST_CHECK_EQUAL(true, std::isnan(z)); } BOOST_AUTO_TEST_CASE(TestConvexHull) { diff --git a/training/cllh_observer.cc b/training/cllh_observer.cc index 58232769..4ec2fa65 100644 --- a/training/cllh_observer.cc +++ b/training/cllh_observer.cc @@ -45,7 +45,7 @@ void ConditionalLikelihoodObserver::NotifyAlignmentForest(const SentenceMetadata cerr << "DIFF. ERR! log_model_z < log_ref_z: " << cur_obj << " " << log_ref_z << endl; exit(1); } - assert(!isnan(log_ref_z)); + assert(!std::isnan(log_ref_z)); acc_obj += (cur_obj - log_ref_z); trg_words += smeta.GetReference().size(); } diff --git a/training/collapse_weights.cc b/training/collapse_weights.cc index dc480f6c..c03eb031 100644 --- a/training/collapse_weights.cc +++ b/training/collapse_weights.cc @@ -95,7 +95,7 @@ int main(int argc, char** argv) { if (line.empty()) continue; TRule tr(line, true); const double lp = tr.GetFeatureValues().dot(w); - if (isinf(lp)) { continue; } + if (std::isinf(lp)) { continue; } tr.scores_.clear(); cout << tr.AsString() << " ||| F_and_E=" << lp - log(tot); diff --git a/training/mpi_batch_optimize.cc b/training/mpi_batch_optimize.cc index 6432f4a2..2eff07e4 100644 --- a/training/mpi_batch_optimize.cc +++ b/training/mpi_batch_optimize.cc @@ -142,7 +142,7 @@ struct TrainingObserver : public DecoderObserver { cerr << "DIFF. ERR! log_model_z < log_ref_z: " << cur_obj << " " << log_ref_z << endl; exit(1); } - assert(!isnan(log_ref_z)); + assert(!std::isnan(log_ref_z)); ref_exp -= cur_model_exp; acc_grad -= ref_exp; acc_obj += (cur_obj - log_ref_z); diff --git a/training/mpi_online_optimize.cc b/training/mpi_online_optimize.cc index 993627f0..d6968848 100644 --- a/training/mpi_online_optimize.cc +++ b/training/mpi_online_optimize.cc @@ -143,7 +143,7 @@ struct TrainingObserver : public DecoderObserver { cerr << "DIFF. ERR! log_model_z < log_ref_z: " << cur_obj << " " << log_ref_z << endl; exit(1); } - assert(!isnan(log_ref_z)); + assert(!std::isnan(log_ref_z)); ref_exp -= cur_model_exp; acc_grad += ref_exp; acc_obj += (cur_obj - log_ref_z); @@ -330,7 +330,7 @@ int main(int argc, char** argv) { if (rank == 0) { converged = (iter == max_iteration); Weights::SanityCheck(lambdas); - Weights::ShowLargestFeatures(lambdas); + static int cc = 0; ++cc; if (cc > 1) { Weights::ShowLargestFeatures(lambdas); } string fname = "weights.cur.gz"; if (iter % write_weights_every_ith == 0) { ostringstream o; o << "weights.epoch_" << (ai+1) << '.' << iter << ".gz"; diff --git a/training/mr_optimize_reduce.cc b/training/mr_optimize_reduce.cc index 461e6b5f..d490192f 100644 --- a/training/mr_optimize_reduce.cc +++ b/training/mr_optimize_reduce.cc @@ -19,8 +19,8 @@ namespace po = boost::program_options; void SanityCheck(const vector<double>& w) { for (int i = 0; i < w.size(); ++i) { - assert(!isnan(w[i])); - assert(!isinf(w[i])); + assert(!std::isnan(w[i])); + assert(!std::isinf(w[i])); } } |