655cf17b60
* Unify GPU prediction node. * Add `PageExists`. * Dispatch prediction on input data for GPU Predictor.
71 lines
2.1 KiB
C++
71 lines
2.1 KiB
C++
#ifndef XGBOOST_TEST_PREDICTOR_H_
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#define XGBOOST_TEST_PREDICTOR_H_
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#include <xgboost/predictor.h>
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#include <string>
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#include <cstddef>
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#include "../helpers.h"
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namespace xgboost {
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template <typename Page>
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void TestPredictionFromGradientIndex(std::string name, size_t rows, int32_t bins) {
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constexpr size_t kCols { 8 }, kClasses { 3 };
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LearnerModelParam param;
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param.num_feature = kCols;
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param.num_output_group = kClasses;
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param.base_score = 0.5;
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auto lparam = CreateEmptyGenericParam(0);
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std::unique_ptr<Predictor> predictor =
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std::unique_ptr<Predictor>(Predictor::Create(name, &lparam));
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predictor->Configure({});
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gbm::GBTreeModel model = CreateTestModel(¶m, kClasses);
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{
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auto pp_ellpack = CreateDMatrix(rows, kCols, 0);
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auto p_ellpack = *pp_ellpack;
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// Use same number of bins as rows.
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for (auto const &page DMLC_ATTRIBUTE_UNUSED :
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p_ellpack->GetBatches<Page>({0, static_cast<int32_t>(bins), 0})) {
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}
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auto pp_precise = CreateDMatrix(rows, kCols, 0);
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auto p_precise = *pp_precise;
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PredictionCacheEntry approx_out_predictions;
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predictor->PredictBatch(p_ellpack.get(), &approx_out_predictions, model, 0);
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PredictionCacheEntry precise_out_predictions;
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predictor->PredictBatch(p_precise.get(), &precise_out_predictions, model, 0);
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for (size_t i = 0; i < rows; ++i) {
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CHECK_EQ(approx_out_predictions.predictions.HostVector()[i],
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precise_out_predictions.predictions.HostVector()[i]);
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}
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delete pp_precise;
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delete pp_ellpack;
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}
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{
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// Predictor should never try to create the histogram index by itself. As only
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// histogram index from training data is valid and predictor doesn't known which
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// matrix is used for training.
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auto pp_dmat = CreateDMatrix(rows, kCols, 0);
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auto p_dmat = *pp_dmat;
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PredictionCacheEntry precise_out_predictions;
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predictor->PredictBatch(p_dmat.get(), &precise_out_predictions, model, 0);
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ASSERT_FALSE(p_dmat->PageExists<Page>());
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delete pp_dmat;
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}
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}
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void TestTrainingPrediction(size_t rows, std::string tree_method);
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} // namespace xgboost
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#endif // XGBOOST_TEST_PREDICTOR_H_
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