ef23e424f1
* [GPU-Plugin] Add GPU accelerated prediction * Improve allocation message * Update documentation * Resolve linker error for predictor * Add unit tests
70 lines
2.2 KiB
C++
70 lines
2.2 KiB
C++
/*!
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* Copyright by Contributors 2017
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*/
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#include <dmlc/registry.h>
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#include <xgboost/predictor.h>
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namespace dmlc {
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DMLC_REGISTRY_ENABLE(::xgboost::PredictorReg);
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} // namespace dmlc
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namespace xgboost {
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void Predictor::Init(
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const std::vector<std::pair<std::string, std::string>>& cfg,
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const std::vector<std::shared_ptr<DMatrix>>& cache) {
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for (const std::shared_ptr<DMatrix>& d : cache) {
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PredictionCacheEntry e;
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e.data = d;
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cache_[d.get()] = std::move(e);
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}
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}
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bool Predictor::PredictFromCache(DMatrix* dmat,
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std::vector<bst_float>* out_preds,
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const gbm::GBTreeModel& model,
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unsigned ntree_limit) {
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if (ntree_limit == 0 ||
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ntree_limit * model.param.num_output_group >= model.trees.size()) {
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auto it = cache_.find(dmat);
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if (it != cache_.end()) {
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std::vector<bst_float>& y = it->second.predictions;
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if (y.size() != 0) {
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out_preds->resize(y.size());
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std::copy(y.begin(), y.end(), out_preds->begin());
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return true;
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}
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}
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}
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return false;
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}
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void Predictor::InitOutPredictions(const MetaInfo& info,
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std::vector<bst_float>* out_preds,
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const gbm::GBTreeModel& model) const {
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size_t n = model.param.num_output_group * info.num_row;
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const std::vector<bst_float>& base_margin = info.base_margin;
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out_preds->resize(n);
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if (base_margin.size() != 0) {
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CHECK_EQ(out_preds->size(), n);
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std::copy(base_margin.begin(), base_margin.end(), out_preds->begin());
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} else {
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std::fill(out_preds->begin(), out_preds->end(), model.base_margin);
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}
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}
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Predictor* Predictor::Create(std::string name) {
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auto* e = ::dmlc::Registry<PredictorReg>::Get()->Find(name);
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if (e == nullptr) {
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LOG(FATAL) << "Unknown predictor type " << name;
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}
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return (e->body)();
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}
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} // namespace xgboost
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namespace xgboost {
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namespace predictor {
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// List of files that will be force linked in static links.
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#ifdef XGBOOST_USE_CUDA
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DMLC_REGISTRY_LINK_TAG(gpu_predictor);
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#endif
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DMLC_REGISTRY_LINK_TAG(cpu_predictor);
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} // namespace predictor
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} // namespace xgboost
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