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Use ellpack for prediction only when sparsepage doesn't exist. (#5504)

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This commit is contained in:
Jiaming Yuan
2020-04-10 12:15:46 +08:00
committed by GitHub
parent ad826e913f
commit 6671b42dd4
35 changed files with 166 additions and 116 deletions
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16
src/predictor/gpu_predictor.cu
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@@ -348,7 +348,14 @@ class GPUPredictor : public xgboost::Predictor {
model_.Init(model, tree_begin, tree_end, generic_param_->gpu_id);
out_preds->SetDevice(generic_param_->gpu_id);
if (dmat->PageExists<EllpackPage>()) {
if (dmat->PageExists<SparsePage>()) {
size_t batch_offset = 0;
for (auto &batch : dmat->GetBatches<SparsePage>()) {
this->PredictInternal(batch, model.learner_model_param->num_feature,
out_preds, batch_offset);
batch_offset += batch.Size() * model.learner_model_param->num_output_group;
}
} else {
size_t batch_offset = 0;
for (auto const& page : dmat->GetBatches<EllpackPage>()) {
this->PredictInternal(
@@ -356,13 +363,6 @@ class GPUPredictor : public xgboost::Predictor {
batch_offset);
batch_offset += page.Impl()->n_rows;
}
} else {
size_t batch_offset = 0;
for (auto &batch : dmat->GetBatches<SparsePage>()) {
this->PredictInternal(batch, model.learner_model_param->num_feature,
out_preds, batch_offset);
batch_offset += batch.Size() * model.learner_model_param->num_output_group;
}
}
}