diff options
| author | Ulrich Germann <Ulrich.Germann@gmail.com> | 2015-12-10 02:05:00 +0300 |
|---|---|---|
| committer | Ulrich Germann <Ulrich.Germann@gmail.com> | 2015-12-10 02:05:00 +0300 |
| commit | 240b88c6834c9c94e8a6448a34dc4ad33bdf3fbd (patch) | |
| tree | e9f43dba3717e8a430557c16a1d6543a13628ddf /moses/LatticeMBR.cpp | |
| parent | ad5e27ae56298564dfd73637c160a682b5f5f028 (diff) | |
Passing around AllOptions or references thereto everywhere,
strong them locally where appropriate, so that compontents can
become independent of StaticData once instantiated.
Diffstat (limited to 'moses/LatticeMBR.cpp')
| -rw-r--r-- | moses/LatticeMBR.cpp | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/moses/LatticeMBR.cpp b/moses/LatticeMBR.cpp index 77e99a722..c9c775bbe 100644 --- a/moses/LatticeMBR.cpp +++ b/moses/LatticeMBR.cpp @@ -515,8 +515,8 @@ void getLatticeMBRNBest(const Manager& manager, const TrellisPathList& nBestList vector< float> estimatedScores; manager.GetForwardBackwardSearchGraph(&connected, &connectedList, &outgoingHyps, &estimatedScores); - LMBR_Options const& lmbr = manager.options().lmbr; - MBR_Options const& mbr = manager.options().mbr; + LMBR_Options const& lmbr = manager.options()->lmbr; + MBR_Options const& mbr = manager.options()->mbr; pruneLatticeFB(connectedList, outgoingHyps, incomingEdges, estimatedScores, manager.GetBestHypothesis(), lmbr.pruning_factor, mbr.scale); calcNgramExpectations(connectedList, incomingEdges, ngramPosteriors,true); @@ -577,8 +577,8 @@ const TrellisPath doConsensusDecoding(const Manager& manager, const TrellisPathL map<const Hypothesis*, vector<Edge> > incomingEdges; vector< float> estimatedScores; manager.GetForwardBackwardSearchGraph(&connected, &connectedList, &outgoingHyps, &estimatedScores); - LMBR_Options const& lmbr = manager.options().lmbr; - MBR_Options const& mbr = manager.options().mbr; + LMBR_Options const& lmbr = manager.options()->lmbr; + MBR_Options const& mbr = manager.options()->mbr; pruneLatticeFB(connectedList, outgoingHyps, incomingEdges, estimatedScores, manager.GetBestHypothesis(), lmbr.pruning_factor, mbr.scale); calcNgramExpectations(connectedList, incomingEdges, ngramExpectations,false); |