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optimization
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parent
8dd0b6d3a8
commit
21e7c774c3
@ -2,8 +2,8 @@ cmake_minimum_required(VERSION 3.5.1)
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set(CMAKE_MODULE_PATH ${CMAKE_CURRENT_SOURCE_DIR}/cmake)
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project(amunn CXX)
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SET(CMAKE_CXX_FLAGS " -std=c++11 -g -O0 -funroll-loops -Wno-unused-result -Wno-deprecated")
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LIST(APPEND CUDA_NVCC_FLAGS --default-stream per-thread; -std=c++11; -g; -O0; -arch=sm_35; -lineinfo; --use_fast_math;)
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SET(CMAKE_CXX_FLAGS " -std=c++11 -g -O3 -funroll-loops -Wno-unused-result -Wno-deprecated")
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LIST(APPEND CUDA_NVCC_FLAGS --default-stream per-thread; -std=c++11; -g; -O3; -arch=sm_35; -lineinfo; --use_fast_math;)
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add_definitions(-DCUDA_API_PER_THREAD_DEFAULT_STREAM)
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SET(CUDA_PROPAGATE_HOST_FLAGS OFF)
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@ -12,6 +12,12 @@ class Search {
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std::vector<ScorerPtr> scorers_;
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using Matrix = typename Backend::Payload;
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template <typename T>
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using DeviceVector = typename Backend::DeviceVector<T>;
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template <typename T>
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using HostVector = typename Backend::HostVector<T>;
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public:
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Search(size_t threadId)
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@ -90,30 +96,31 @@ class Search {
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Matrix& probs = probsEnsemble[0];
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Matrix costs(probs.Rows(), 1);
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Matrix costs;
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(*costs).Resize((*probs).Rows(), 1);
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HostVector<float> vCosts;
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for(auto& h : prevHyps)
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vCosts.push_back(h->GetCost());
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Backend::copy(vCosts.begin(), vCosts.end(), costs.begin());
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Backend::BroadcastVecColumn(weights[0] * Backend::_1 + Backend::_2,
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probs, costs);
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Backend::Broadcast(weights[0] * Backend::_1 + Backend::_2,
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probs, costs);
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for(size_t i = 0; i < probsEnsemble.size(); ++i)
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Backend::Element(Backend::_1 + weights[i] * Backend::_2,
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probs, probsEnsemble[i]);
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Backend::HostVector<unsigned> bestKeys(beamSize);
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Backend::HostVector<float> bestCosts(beamSize);
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HostVector<unsigned> bestKeys(beamSize);
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HostVector<float> bestCosts(beamSize);
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Backend::PartialSortByKey(probs, bestKeys, bestCosts);
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std::vector<Backend::HostVector<float>> breakDowns;
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std::vector<HostVector<float>> breakDowns;
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bool doBreakdown = God::Get<bool>("n-best");
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if(doBreakdown) {
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breakDowns.push_back(bestCosts);
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for(size_t i = 1; i < probsEnsemble.size(); ++i) {
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HostVector<float> modelCosts(beamSize);
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auto it = Backend::make_permutation_iterator(probsEnsemble[i].begin(), keys.begin());
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auto it = Backend::make_permutation_iterator(probsEnsemble[i].begin(), bestKeys.begin());
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Backend::copy(it, it + beamSize, modelCosts.begin());
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breakDowns.push_back(modelCosts);
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}
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@ -136,7 +143,7 @@ class Search {
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float cost = 0;
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if(j < probsEnsemble.size()) {
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if(prevHyps[hypIndex]->GetCostBreakdown().size() < probsEnsemble.size())
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const_cast<HypothesisPtr&>(prevHyps[hypIndex])->GetCostBreakdown().resize(ProbsEnsemble.size(), 0.0);
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const_cast<HypothesisPtr&>(prevHyps[hypIndex])->GetCostBreakdown().resize(probsEnsemble.size(), 0.0);
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cost = breakDowns[j][i] + const_cast<HypothesisPtr&>(prevHyps[hypIndex])->GetCostBreakdown()[j];
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}
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sum += weights[j] * cost;
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